KOREAN FINANCIAL

REVIEW

󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏

QUARTERLY ANALYSIS & FORECAST



Vol. 12, No. 1                              Spring 2002

󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏



󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏


CONTENTS 


󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏


Lead Article: Estimating a Pricing Kernel

Using Option Prices   󰠜󰠜󰠜󰠜󰠜󰠜󰠜 3





President and Publisher

Macroeconomic Developments 󰠜󰠜󰠜󰠜󰠜󰠜󰠜󰠜󰠜󰠜󰠜󰠜 29





Hae Wang Chung

Current Status and Prospects

Money and Interest Rates 


Financial Market Developments 󰠜󰠜󰠜󰠜󰠜󰠜󰠜󰠜󰠜󰠜 76


Banking 

Non- Bank Financial Institutions 

Money and Capital Markets

Insurance 





󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏󰠏 

Korean Financial Review: Quarterly Analysis & Forecast is published by the Financial Outlook Team of the Korea Institute of Finance (KIF). The views expressed are those of the authors, and do not necessarily reflect official positions of the KIF.

For subscriptions, please direct requests and inquiries to the Financial Outlook Team, Korea Institute of Finance, Seoul, Korea; Telephone (82- 2) 3705- 6272, Fax (82- 2) 3705- 6285.

Estimating a Pricing Kernel Using Option Prices


Sangil Han*


<Contents>

Ⅰ. Preface

Ⅱ. A Research on Option Pricing Model 

Ⅲ. The Estimating Methodology of Diffusion

Ⅳ. Empirical Analysis

Ⅴ. The Conclusion


. Preface


1. The Necessity for Studying the KOSPI 200 Index Option Markets 


In March 2002, the trading amount and volume of the KOSPI 200 Index options recorded about 6 mil and 480 billion won. These figures are ranked as one of the largest trade amount in the world for a single item. Option trades for interest rate futures were listed last May and the OTC derivatives for securities companies will be permitted beginning July 2002. Hence, the derivative markets are expected to grow continuously. However, empirical studies on the KOSPI option markets have not fully progressed compared to those on the KOSPI spot and future markets. 

Currently, many estimation methodologies for a pricing kernel have been presented in academia. Therefore, to study the KOSPI index option markets, it is necessary to review the existing option pricing models and perform statistical studies on the advanced markets which has empirical facts. This paper will briefly review the option pricing models and estimate the parameters under a risk neutral economy.


* Research fellow at KIF.

- 3 -

In particular, we will estimate a pricing kernel using the data of implied volatility by Ait- Sahalia & Lo(1998). If there is an one- to- one correspondence between volatility as a latent variable and implied volatility, then it will be possible to estimate the parameters using the observable data of implied volatility. 

The composition of this report is outlined below. First, the present option pricing models are examined in the next section. Second, various estimation methodologies for stochastic processes are examined in the chapter 3. Third, the parameters of a stochastic process itself and a pricing kernel are estimated using the data by Ait- Sahalia & Lo(1998) in the chapter 4. Last, the chapter 5 includes the conclusion.


2. A Brief Survey of the Literature 


If the stochastic process of underlying assets is a constant geometric Brownian, then, according to the Black- Scholes Option Pricing Model (BSOPM), the implied volatility induced by option prices should be constant regardless of their moneyness(exercising price/price of underlying assets) and maturities. However, the implied volatility calculated by the BSOPM varies according to its moneyness and maturity. If the implied volatility is high in ITM or OTM, and low in ATM, it is called the smile phenomena. In the U.S. market, the smile phenomena was observed before the Black Monday in 1987, and the smirk phenomena was observed afterwards in which the implied volatility of ITM is low, but that of OTM is high. Normally, ATM options is the most liquid product. So, the implied volatility can be calculated by using it. However, assuming the volatility calculated from the implied volatility of ATM in the BSOPM, the pricing of OTM or ITM options could be biased due to the smirk phenomena. In addition, if the volatility is time varying, the valuation of long or short term options under the assumption of a fixed volatility is not theoretically consistent. If the implied volatility of short term option prices is calculated by the BSOPM, then the implied volatility could as high as 10 sometimes. Therefore, the BSOPM is not a appropriate model in pricing short term options. 

- 4 -

The solutions for the BSOPM problems are classified into two categories. First, Hull- White(1988)'s method of calibrating a stochastic process of underlying assets by inputting the smile phenomena into the model, then calculating relative values of the other assets belongs to one category. Second, the method of Merton (1976), Heston (1993) and Bates (1996) setting a stochastic process of the underlying assets, then estimating the parameters which determine a pricing kernel under equilibrium or no arbitrage condition is the other category. The former has focused on developing efficient algorithms, and the latter has focused on estimating the probability distribution of option prices and underlying assets. According to the stochastic process of the underlying assets and volatility, the option pricing models can be classified into the BSOPM, Merton(1976)'s jump diffusion model, Heston(1993)'s stochastic volatility model, and Bates(1996)'s universal volatility model. The pricing formula for each model can be induced by placing appropriate restrictions on the stochastic process of underlying assets. The stochastic volatility model is especially simple, and provides an explanation for the smile phenomena. The purpose of this research is to empirically analyze the Heston(1993)'s model.

When estimating the stochastic process of underlying assets, the problem that is arises is how to statistically estimate the stochastic process. The estimation methods for diffusions include MLE(maximum likelihood estimation), QLE(quasi- likelihood estimation), GMM(generalized method of moment), Kalman Filter and Gallant- Tauchen's EMM(efficient method of moment). When the stochastic process to be estimated has a simple structure, such as the Geometric Brownian motion, MLE may be the most efficient method. But, if the stochastic process has mean reverting or has level effects, it will be very difficult to estimate the parameters through MLE because the distribution function of the square root process is composed of Bessel functions. In this case, QLE may be used, but it does not use the full information of the stochastic process. And, GMM needs additional information about the moment distribution to be applied. On the contrary, EMM is based on SME(simulated method of moment), therefore the information on the distribution of moment is not necessary. Chernov- Ghysels(2000) estimated the 

- 5 -

parameters of the option pricing formula by using EMM. In addition to these parametric methods, Ait- Sahalia & Lo(1998) proposed a non- parametric estimation of the pricing kernel using option prices. This method, however, can invoke over- fitting problems to the observed data. In this paper, several estimation methodologies were examined, then the parameters of SDE(stochastic differential equation) by using option data from Ait- Sahalia & Lo were estimated. Lastly, the pricing parameters under a risk neutral economy were estimated.



. The Analysis Model


1. The Black- Scholes Model


It is necessary to explain the BSOPM before surveying other stochastic volatility models. Assume that the drift and the volatility of an asset price, are constant, expressed by  and , and the diffusion process of the underlying asset follows formula (- 1). Then the diffusion can be interpreted by the SDE and the existence of a solution for the SDE was provided by Oksendal (1998).


                           (Ⅱ- 1)


In the formula (Ⅱ- 1), represents a noise and a Brownian process. Regardless of the stochastic process of the underlying assets, the payoff of the European call option at maturity, of which the exercise price is a constant , is Max. And if the value of the current call option denoted as , then this is a function of  . However, if returns of an asset is a diffusion  and  is differentiable to , then Ito's lemma can be applied to . In this case, the total derivative() represents capital gain or loss due to holding options. By Black- Scholes(1972), the returns on the portfolio composed of options and the 

- 6 -

underlying assets can be fixed by delta hedging. Delta hedging is a portfolio strategy which sells or buys the underlying assets as much as delta(
) which represents the option price changes on the price change of underlying assets. Therefore, if short term interest rates and dividend payout ratios are denoted as constants  and , respectively, then the returns on the portfolio under no arbitrage conditions is . Using these facts, the partial differential equation(PDE) for the call option value can be induced and the solution of this PDE will be the European call option price, .


        (Ⅱ- 2)


                  (Ⅱ- 3)


The solution of the above partial differentiation can be obtained by using separations of the variables or Fourier transform technique, and it is called the Black- Scholes formula.


            (Ⅱ- 4)


Here  and  is a cumulative normal density function. Because ,  and the cumulative normal density function can be expressed as a limit value of the Fourier integral, the Black- Scholes formula can be expressed as below.



Instead of solving the PDE, the Black- Scholes formula can be directly induced by 

- 7 -

using a statistical method. Harrison- Kreps(1979) showed that if a market is complete, then no arbitrage condition implies the existence of the equivalent martingale measure under which the value of an asset can be calculated as the conditional expectation of its future cash flows after being normalized by a riskless asset. Under the equivalent martingale measure , the drift term of returns on an asset is the short term interest rate, and the option pricing formula can be expressed by using  which is an expectation operator under the equivalent martingale measure ; This is the same as the Black- Scholes formula.


                 (Ⅱ- 6)


In the formula above, the density function of the equivalent martingale measure can be separated. Let's call it a pricing kernel. Financial products with complex payoff structures, such as exotic options can be evaluated by using Harrison- Kreps's theorem(1979) if the payoff function and a pricing kernel is known. The pricing kernel is a normal distribution when the underlying assets follows the Geometric Brownian process. Because Harrison- Kreps's theorem(1979) holds under the other diffusion process, the methodology using the martingale measure can be an efficient method even when the returns of the underlying assets does not follow the Brownian process.


2. The Stochastic Volatility Model


In the case of the local or deterministic volatility model, the volatile term is constant, but in the case of the stochastic volatility model, the volatility itself 

- 8 -

follows SDE. Let's assume that the short term interest rate is constant , and the diffusion term follows the square root process, such as formula Ⅱ- 8.


                       (Ⅱ- 7)


                (Ⅱ- 8)


In this formula,  and  are the Brownian motion processes which correlation is . According to the formula Ⅱ- 7, which reveals the dynamic characteristics of the returns on an asset, the volatility  varies by the formula - 8. Besides, because there is the volatility of volatility by the formula - 8, the volatility of volatility grows concurrently with the level of the volatility itself. And, the mean of volatility converges to the average value , and it shows volatility clustering when  is large. 
In the stochastic volatility model, risk can be increased by  as well as . Therefore, additional assets by which the volatility of volatility is to be hedged are necessary, which is different from the BSOPM. That is, the risk from  is hedged by using the underlying assets, and the risk from  must be hedged by additional assets. If these assets are not available in the market, the market does not satisfy the complete condition. Therefore, pricing by hedging is impossible. If these assets are assumed to exist, the pricing equation for European call options under the stochastic volatility by applying Ito’s lemma to the formulas Ⅱ- 7 and Ⅱ- 8 is  induced. Heston(1993) solved the problem by using the Black- Scholes pricing formula, and the method is suggested by the formula Ⅱ- 10. It is similar to the Black- Scholes pricing formula of - 5, but the cumulative 

- 9 -

normal distribution function is converted to  owing to the stochastic volatility effects.


    (Ⅱ- 10)


<Picture - 1 > The Smile Phenomenon Explained by the Heston Model

 
 



- 10 -

The implied volatility, which is calculated by the Black- Scholes pricing formula, has a smile form when an option price is determined by the stochastic volatility model. And, <Picture Ⅱ- 1> shows a graph, under an appropriate stochastic volatility process revealing the implied volatility calculated by the Black- Scholes pricing formula after having options priced by the Heston model, when the prices of the underlying assets are 1, and the exercise prices moves from 0.5 to 3. <Picture - 1> explicitly shows that the Heston model can explain the smile phenomena in the market. However, real market data show the jump and volatility clustering phenomena in the time series of the  implied volatility. And, it should be proved whether the Heston model can explain these phenomena. Therefore, the empirical analysis is discussed in the next chapter to estimate parameters by using the Heston model. 



. The Estimating Methodology of Diffusion 


1. MLE, Kalman Filter and QLE


The diffusion process is a special type of Markov process, and the Kolmogolov backward equation  can be expressed by the mean and distribution terms.


  (Ⅲ- 1)


- 11 -

In this equation,  is a transition probability. If  and  are given in a simple form, the closed solution can be obtained by solving the equation above or by calculating it numerically. Because the likelihood function can be induced after solving the equation, the likelihood value can be obtained, and parameters can be estimated by using MLE. However, for the square root process, because the distribution follows a non- central, the numerical calculation of the likelihood function is time consuming. To solve this problem, the Kalman filter method which assumes that the residuals are normally distributed can be used. However, the rate of convergence in the finite samples may be slow if the real stochastic process does not follow normal distribution function. So, the estimation error may be enlarged.


2. GMM


When estimating the pricing kernel, the joint density of option prices and underlying assets should be obtained before calculating the moment. However, if the stochastic process of underlying assets follows the square root process, it is very difficult to analytically obtain the joint distribution function. Instead of calculating the joint distribution of option prices and underlying asset, Pan(2002) obtained the joint distribution of the underlying assets and the implied volatility, and then applied GMM. The moment is calculated by using the fact that the joint distribution becomes moment when the partial derivatives of CCF(conditional characteristic function) becomes 0. However, the GMM estimation of this method can only be used when the shape of the joint distribution function is known.

Chan- Karolyi- Longstaff- Sanders(1992) estimated the parameters of a SDE by using GMM, after assuming that the unrestricted model follows the below short- term interest rate model.


                    (Ⅲ- 2)


- 12 -

Chan- Karolyi- Longstaff- Sanders(1992) suggested a discrete approximation to empirically test the parametric short- term interest rate model, which is an unrestricted model, using data which had been observed discontinuously. 


          (Ⅲ- 3)


                 (Ⅲ- 4)


In the formula above,  is an available information set at time , and the parameters are . If the constants 1 and  are given, the moment condition  from the discrete approximation formula - 3 and - 4 becomes the below equation. 


   (Ⅲ- 5)


In the formula above,  denotes a class of parameters. If the approximation formula is an appropriate short term interest rate model,  is a correct equation. And, the sample mean of  can be calculated by using  observations.


                       (Ⅲ- 6)



From this formula,


                 (Ⅲ- 7)


- 13 -

The parameter set  becomes the estimated value of GMM. Here  is an weighting matrix expressing a weighted value, and the variance of the weighted value varies according to calculating methods. Hansen(1982) etc. suggested various kinds of optimal matrix for . The estimation of  should precede that of GMM. According to Hansen(1982), the optimal  is


            (Ⅲ- 8)


The formula Ⅲ- 5 can be considered an unrestricted model, and the parametric short term interest rate process is restricted by the parameters. If the estimation value of the parameters of the unrestricted formula is , and the restricted one  is , then the following  has a   distribution.


                    (Ⅲ- 9)


According to Hansen(1982),  follows a  distribution which has a degree of freedom asymptotically as much as the number of restrictions. Therefore, the goodness of fit can be evaluated by rejecting models which has a higher value of  than the critical value under the degree of freedom.


3. EMM


1) An overview of EMM 


EMM was first suggested by Gallant- Tauchen(1996). It uses the fact that the expected value of the score becomes 0 under the estimated distribution function after having semi- parametricaly estimated a distribution function of the target stochastic process. If  is the true probability density function of the data, it can be 

- 14 -

approximated by using the Hermite polynomial expansion as formula Ⅲ- 10 even when estimating  is impossible or extremely difficult. The approximation converges to . And here,  has the probability density function defined by the Hermite polynomial .


(Ⅲ- 10)


In the formula above,  is a function having a degree of coefficient of , and  square is necessary to make the probability density function be positive. Polynomial  and  can be defined as below;


      (Ⅲ- 11)


In the formula Ⅲ- 10,  is the probability density function, and the conditional mean and variance are  and, respectively. The coefficients of the auxiliary model are determined by the lag of the mean , the lag of the variance , and, the degree of polynomials  and . Especially,  and  are useful when the distribution function is non- linear. If these values are high, then the non- linearity of the time series can be interpreted as being strong. <Table Ⅲ- 1> shows the distribution function according to the degree of polynomial. To estimate the parameter of the Hermite expansion, the likelihood function of data generating process is needed. The likelihood function can be defined as below if the observable variable is  and the lag of observation variable is .


        (Ⅲ- 12)


- 15 -

Quasi MLE can be calculated below.


               (Ⅲ- 13)


<Table - 1>  The Distribution Function According to Parameter Selection

iid Gaussian

Gaussian VAR

semiparametric VAR

Gaussian ARCH

semiparametric ARCH

Gaussian GARCH

semiparametric GARCH

non- linear non- parametric


To estimate the distribution function, the values of <table  Ⅲ- 1> must have been selected before. Various kinds of distribution functions can be determined as shown by <Table Ⅲ- 1> or by BIC (Schwarz's Bayesian information Criterion) in the formula - 14 below.


          (Ⅲ- 14)


In the formula above,  is the number of parameters. Therefore, the BIC value increases when the number of parameters increases.

In the first step, the score below can be calculated under the moment condition in the semi- non- parametric (SNP) estimation and the expected value is 0.


          (Ⅲ- 15)


- 16 -

Although the direct estimation of  is impossible, the simulation using the structural model (ex: stochastic differential equation etc) is possible. If  is supposed to be simulated values by using a specific  (parameter of structure model), the score function can be recalculated by using the simulated values.


           (Ⅲ- 16)


EMM, the minimum chi- square estimated value, can be defined as below.


         (Ⅲ- 17)


  (Ⅲ- 18)


The statistic characteristics of EMM- estimated values were suggested by Gallant- Tauchen(1996) when the parameters are expressed by   etc.


                        (Ⅲ- 19)


         (Ⅲ- 20)


                    (Ⅲ- 21)


Here,


,               (Ⅲ- 22)


- 17 -

,           (Ⅲ- 23)


      (Ⅲ- 24)


If the parameters are estimated by MLE or non- parametric methods, dimensions increase from  to . On the contrary, the EMM estimation method does not increase the dimensions of the estimation space even when the multi factor stochastic process is to be estimated.


2) Application on Estimating a Pricing Kernel


The EMM can be used in estimating the stochastic process. Chernov - Ghysels(2000) suggested a method to estimate the pricing function by using EMM. The method is that the joint distribution function is estimated by the SNP density. To obtain the joint density implied in stock returns and option prices, the conditional density of  and  should be estimated from the formula Ⅲ- 25.


             (Ⅲ- 25)


In formula Ⅲ- 25, is information class at time , and  denotes parameters. To estimate ,  is estimated by  being defined as  lag of . Then, to estimate coefficients of the structural model by using EMM, the parameters, which determine option prices under both the subjective probability and the risk neutral environment, is  estimated by simulating S and  according to the Heston(1993) model.


- 18 -

. Empirical Analysis


1. The Analyzing Method and Its Data


In this research, the joint distribution function of stock returns and the implied volatility by using the trade data of options provided by Sahalia- Lo(1998) were estimated. The data used by Sahalia- Lo is outlined below.

Firstly, the call and put option prices of 16,923 pairs, which were calculated by averaging the bid and ask prices of S&P 500 index options having been traded in CBOE from January 4, 1993 to December 31, 1993, were selected. Among these options, options of which maturities were shorter than one day, of which volatilities were above 70%, and of which prices were less than 1/8 were excluded. The number of the remaining options was 14,431. The mean and standard deviation of return on the investment of S&P 500 indexes were 7.98% and 10.28% respectively. Short term interest rates were rather even, from the minimum of 2.85% to the maximum of 3.21%.


<Picture Ⅳ- 1>     The Implied Volatility for the Short Term Options 

 



Firstly, the implied volatility of the prices of 236 options, of which maturities 

- 19 -

were between 10 to 11 days, were calculated to determine whether there were the smile phenomena among 14,431 call option data.  <Picture - 1> shows the result with the  axis being the degree of the implied volatility and the  axis being the degree of moneyness. The solid line represents the estimated values by the non- linear 4 dimensional cubic polynomials. As shown by the picture, there were the smirk phenomena among the option prices of which maturities were short. Because S&P 500 is European options of which the underlying assets are stock index items, the log- normal assumption can be satisfied and the probability of jump, owing to the diffusion effect, is less than that of individual stocks. That is to say, the option market sampled can be regarded as a financial time series which satisfies the assumption of the BSOPM. However, the data should be adjusted due to the reasons below. Firstly, the prices of ITM options are less credible compared to those of ATM or OTM options because its trade amount is rather small. Secondly, it is difficult to precisely forecast the index which is the basis of options at the time of recording option prices. Especially, there is no warranty for the closing price of the index to be recorded at the exact time when option trades are closed. Thirdly, it is difficult to determine future dividend payout ratios, although the index pays dividends. Standard and Poor's provides dividends paid per day, but the data are basically past oriented. Ait- Sahalia & Lo suggested the following procedure to solve these problems above.
Supposing that interest rates and dividends are  with maturity  at time , there is a below relationship between the future price  and an underlying price .


                   (Ⅳ- 1)


By using the relation between futures and spots, the put- call parity can be defined as follows, and implied futures prices can be induced. The future prices obtained like this have all the information about the put options. Therefore, it is 

- 20 -

possible to empirically analyze the whole option markets with the call options and the implied future prices. Because dividends are not included in the option pricing function, the dividend problem disappears. 


(Ⅳ- 2)


In formula Ⅳ- 2,  and  mean the value of put and call options respectively, and  and  mean a exercise price and a implied futures price with maturity of .

To induce the prices of futures, the proper prices of ITM call options are calculated after having calculated future prices by using the put- call parity. In this report, the options having moneyness between 0.7 and 1.3, and of which maturities were longer than 10 days were selected. <Table Ⅳ- 1> shows the implied future values calculated like this and simple statistics of the time series. The time series are shown in  <Picture Ⅳ- 1> and <Picture Ⅳ- 2>.


<Table - 1>     Simple Statistic Values for S&P 500 Index Options

Percentile

Variable

Mean

Std Dvn

Min

5%

10%

50%

90%

95%

Max

Call Price H($)

24.16

25.29

0.13

0.32

0.76

16.62

59.83

74.21

121.06

Implied  (%)

11.38

3.29

5.07

7.45

7.84

10.72

15.69

17.41

36.83

ATM implied  (%)

9.40

0.87

6.10

7.97

8.29

9.39

10.42

10.68

16.47

 (day to maturity)

86.64

72.32

1.00

11.00

21.00

66.00

196.00

259.00

350.00

Price(Index)

440.80

33.02

350.00

390.00

400.00

440.00

480.00

490.00

550.00

Fur. Price(Index)

455.43

10.28

429.19

436.13

441.64

457.82

467.49

469.16

474.22

Int. Rate(%)

3.07

0.08

2.85

2.96

2.97

3.08

3.18

3.19

3.21

Std. Dvn.: Standard Deviation, Exer.: Exercise, Fur.: Future, Int.: Interest


- 21 -

2. The Analysis of the Time- Series Characteristics of the Implied Volatility


Although Ait- Sahalia&Lo used future prices for analysis, it is necessary to directly use returns of stock prices. The formula <Ⅳ- 1> shows the calculation of spot returns by using short term interest rates and maturities, without considering dividends. The distribution of the spot returns is stationary in <Picture - 2>, but not in <Picture - 3>. So, the unit root tests were done to find the stationarity in the statistical values. <Table - 2> shows the result of the ADF unit root tests. According to the result, the implied volatility itself is non- stationary, but ADF of the implied volatility is - 3.821339, which is less than - 3.4586, the 1% level of significance. Therefore, the log volatility seems to be stable, and is the subject of the empirical analysis. 

First, the distribution function of the log volatility was estimated by the kernel density method which is a non- parametric estimation method. <Picture Ⅳ- 4> and <Picture - 5>. shows the results. Especially, <Picture - 5> shows that the volatility is in the non- gaussian form. The Jarque- Bara statistical value, 0.147583, confirms the fact. 


<Picture Ⅳ- 2> Returns           <Picture Ⅳ- 3> Implied Volatility


- 22 -

<Table Ⅳ- 2>                    Unit Root Test

Objects

ADF

1% Confidence Level

5% Confidence Level

Durbin- Watson

Return

- 8.015684

- 3.4586

- 2.8734

2.005503

Volatility

- 0.672756

- 2.5740

- 1.9409

1.991096

Log Volatility

- 3.821339

- 3.4586

- 2.8734

1.989549


<Picture Ⅳ- 4> Distribution of Returns     <Picture Ⅳ- 5> Distribution of Imp Vol
 
 











<Picture Ⅳ- 6> Periodogram of Returns    <Picture Ⅳ- 7> Periodogram of Imp Vol

 
 


Especially, to grasp the cyclical characteristics of the implied volatility, the periodogram was calculated with the  axis being one year unit and the sampling 

- 23 -

frequency being 250. According to <Picture - 6>, the returns has the all over frequency bands, and the cycle of the log volatility is large, as shown in <Picture - 7>. Therefore, if the implied volatility is a proxy variable for the conditional heteroscadacity, then the volatility is considered to have different dynamic characteristics from returns of the underlying asset. The stochastic volatility model suggested in this paper should be empirically verified to find whether the model can explain these cyclical characteristics.


3. Estimating the Parameters of SDE and the Pricing Kernel


Though the joint distribution function of returns and the implied volatility can be estimated by the kernel estimation methods, it is necessary to estimate it by SNP as suggested by Gallant- Tauchen(1997) for applying EMM. In estimating parameters from option prices, it should be examined whether the joint distribution is useful or the implied volatility itself is sufficient. Chernov- Ghysels(2000) reported that the parameters estimated based on the  implied volatility was more useful than those based on the joint distribution.  Therefore, in this report, the distribution function of the implied volatility was estimated by SNP with the uni- variate variable. For an exact estimation, it is necessary to identify models by using BIC after having established the parameters step by step as suggested by Gallant- Tauchen. However, in this report, BIC was suggested after having estimated the parameters in <Table - 3>. As shown by <Table - 3>, the BIC value of the model  has the minimum value, 0.13268693. On the contrary, the BIC value of the model, which 

- 24 -

has the GARCH effect, has a larger value of 1.46318003 compared to that of the model I. Models  and  are the result of  and  being larger than 0, and the distribution function is non gaussian at the same time. From these facts it can be conjectured they have the ARCH or GARCH effects. Therefore, the distribution function of the implied volatility is a non- linear and non- parametric distribution function, but has conditional heteroscadacity. Though the heteroscadacity can be rejected if it is verified with the ARCH or GARCH models, the heteroscadacity is apparent when SNP density is used.

To estimate parameters of the implied volatility under risk neutral conditions, the short term interest rate was assumed to be 4%, and using EMM the stochastic process was estimated directly with the following formula. <Table - 4> shows the estimation result of parameters by using EMM.




According to the empirical results,  is negative. This means that there is a mean reversion in the volatility. However, because the value of the chi- square is very large, the model itself has a low goodness of fit. To improve the fitness of the model, the jump effects should be reflected or new factors for uncertainty should be added. But, the discussion for jump effects had better be postponed to the next research subject. On the other side, SNP and EMM can evaluate whether they can estimate the parameters of a model after Monte- carlo simulating the stochastic process with the stochastic volatility model. A research by Monte- carlo simulation also had better be postponed to the next project.

- 25 -

<Table Ⅳ- 3>                  Goodness of Fit

Model

Likelihood Function

BIC

Ⅰ (Gaussian Garch)

0

2

0

1

0

0

671.67509

1.4631800

Ⅱ (semipara GARCH)

1

1

1

1

6

0

10.104206 

0.1482128

Ⅲ (semipara GARCH)

1

1

1

1

4

0

2.7449429 

0.1326869 


<Table Ⅳ- 4>      Parameters under a Risk Neutral Economy

chisquare(   8) =    483.986     zvalue = 118.997     icall =   121

Parameter

Estimated Value

0.4992216

- 0.8935665

0.21218417



Ⅴ. Conclusion


In this report, the distribution function of the implied volatility was estimated by using SNP. According to the result, the distribution function of the implied volatility has the GARCH effect at the same time it posessing a non- linear and non- parametric distribution function rather than the normal distribution. And, the parameters under the risk neutral condition were estimated by using EMM, and it was found that it can explain the mean reversion effect for some degree. However, the fitness of the stochastic volatility model itself was low. This methodology can produce abundant empirical results if it is applied to the domestic option market. Especially, because the EMM methodology can be applied to the time series itself, it also can be applied to the level of interest rates, the stock index, and the foreign exchange rates.

However, in this research, the empirical analysis using step by step the BIC selecting procedure was not achieved. When these experiments were performed, then the usefulness for hedging of each model can be evaluated by the domestic option market data.



- 26 -

References


Ait- Sahalia, Y., Lo, A., 1998. Nonparametric Estimation of State- price Densities Implicit in Financial Prices, Journal of Finance 53, 499- 548.

Bates, D.S., Jumps and Stochastic Volatility: Exchange Rate Processes Implicit in Deutschemark Options, Review of Financial Studies, 1996. 69- 107 

Chan,  K., A. Karoli, F. Lonstaff and A. Sanders, 1992, An Empirical Comparison of Alternative Models of the Short Term Interest Rate, Journal of Finance, July,  1209 -  1226

Chernov, M., E. Ghysels, 2000, A Study Toward an Unified Approach to the Joint Estimation of Objective and Risk Neutral Measures for the Purpose of Options Valuation, Journal of Financial Economics 56, 407- 458

Cox, J., Ingersoll, J., Ross, S., 1985. A Theory of the Term Structure of Interest Rates, Econometrica 53, 385- 408.

Duffie  D., and K. Singleton, 1993, Simulated Moment Estimation of Markov Process Models of Asset Prices, Econometrica, 61, pp. 929~953

Duffie, D., Pan, J., Singleton, K., 1998. Transform Analysis and Option Pricing for Affine Jump- Diffusions, Econometrica, 68, 1342- 1376

Gallant, A.R., Tauchen, G., 1989. Seminonparametric Estimation of Conditionally Constrained Heterogeneous Processes: Asset Pricing Applications, Econometrica 57, 1091- 1120.

Gallant, A.R., Tauchen, G., 1996. Which Moments to Match? Econometric Theory 12, 657- 681.

Gallant, A.R., Hsieh, D., Tauchen, G., 1997. Estimation of Stochastic Volatility Models with Diagnostics, Journal of Econometrics 81, 159- 192.

Hansen, L., 1982. Large Sample Properties of Generalized Method of Moments Estimators, Econometrica 50, 1029- 1054.

Harrison, M., Kreps, D., 1979. Martingales and Arbitrage in Multiperiod Securities Markets, Journal of Economic Theory 20, 381- 408.

- 27 -

Heston, S.L., 1993. A Closed- Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options, Review of Financial Studies 6, 327- 343.

Hull, J., White, A., 1987. The Pricing of Options on Assets with Stochastic Volatilities, Journal of Finance 42, 281- 300.

Merton, R., 1976, Option Pricing When Underlying Stock Returns are Discontinuous, Journal of Financial Economics, 3, 125- 144

Pan, J., 2002, The Jump Risk Premia Implicit Evidence from an Integrated Time Series Study, Journal of Financial Economics, 63, 3- 50

- 28 -

Macroeconomic Developments


Current Status and Prospects


Economic Growth


1) Review


According to the 2001 National Accounts (provisional version) by the Bank of Korea in March, the Korean economy grew by 3.0 percent year- on- year as a result of slumps in equipment investments and exports, which centered on the IT industry including semiconductor, computer, and telecommunication apparatus (<Table 1>). This was attributable to the recession in advanced economies, including America, Japan, and Europe, additional setbacks in the global economy due to the September 11th terrorist attack on the U.S. and the War on Terrorism, and the aggravated terms of trade.

By sector, private consumption grew by 4.2 percent year- on- year and contributed only 2.2 percentage points to the GDP (gross domestic product), which was down from the previous year (<Table 2>). Spending on services increased while spending on durable and semi- durable goods decreased. Equipment investments decreased by 9.8 percent as investments in electric and electronic machinery, including computer and wire telecommunication apparatus, vessels, aircrafts, and buses declined. The decrease in equipment investments was the major impediment for economic growth. With a 1.0 percent increase in exports and a 2.8 percent decrease in exports, net imports, contributed 1.7 percentage points to the GDP. By quarter, after recording its lowest growth in the third quarter at 1.9 percent, the real GDP growth rate rebounded to 3.7 percent in the fourth quarter as private consumption and construction investments picked up because of an additional reduction in call rates and expansionary fiscal policies after the terrorist attacks on the U.S. 

- 29 -

<Table 1>      Trends and Forecasts of Economic Growth1)

(Unit: %)

2000

2001

2002

1st Half

2nd Half

Year

1Q

1Q

2Q

3Q

4Q

GDP 

9.3

3.7

2.9

3.3

1.9

3.7

2.8

3.0

4.4

Consumption

(Private)

Fixed Investment

(Construction)

(Equipment)

Exports2)

Imports2)

6.7

(7.9)

11.4

(- 4.1)

(35.3)

20.5

20.5

1.2

(1.5)

- 4.0

(1.5)

(- 8.4)

9.0

0.2

3.5

(4.1)

- 4.8

(1.1)

(- 11.2)

0.7

- 7.2

2.4

(2.8)

- 4.4

(1.3)

(- 9.8)

4.9

- 3.5

4.3

(4.8) 

- 3.1

(8.2)

(- 15.7)

- 4.1

- 5.5

5.6

(6.6)

4.9

(10.7)

(- 3.1)

- 1.1

1.1

5.0

(5.7)

0.9

(9.5)

(- 9.4)

- 2.6

- 2.2

3.7

(4.2)

- 1.7

(5.8)

(- 9.8)

1.0

- 2.8

3.7

(4.2)

2.9

(7.2)

(- 1.3)

1.5

3.7

GNI

3.6

0.5

1.3

0.9

- 0.1

3.4

1.7

1.3

-

Notes: 1) Year- on- year percentage changes. 

2) Goods and services.

Sources: The Bank of Korea, National Accounts, various issues.




<Table 2>       Contribution to the Growth Rate by Factors1)

(Unit: %)

2000

2001

2002

1st Half

2nd Half

Year

1Q

1Q

2Q

3Q

4Q

GDP 

9.3

3.7

2.9

3.3

1.9

3.7

2.8

3.0

4.4

Consumption

(Private)

Fixed Investment

(Construction)

(Equipment)

Inventories

Net Export

4.1

(4.1)

3.1

(- 0.7)

(3.8)

- 0.2

3.1

0.7

(0.8)

- 1.1

(0.2)

(- 1.3)

- 0.5

4.7

2.1

(2.1)

- 1.4

(0.2)

(- 1.6)

- 0.1

3.0

1.4

(1.5)

- 1.3

(0.2)

(- 1.5)

- 0.3

3.9

2.5

(2.4) 

- 0.9

(1.2)

(- 2.1)

0.3

- 0.2

3.1

(3.1)

1.3

(1.6)

(- 0.3)

0.1

- 0.9

2.8

(2.8)

0.2

(1.4)

(- 1.2)

0.2

- 0.6

2.1

(2.2)

- 0.6

(0.8)

(- 1.4)

- 0.1

1.7

2.3

(2.2)

0.7

(0.9)

(- 0.2)

1.5

- 0.5

Note: 1) Year- on- year percentage changes.

Contribution = (Change in each factor/Change in GDP) × GDP growth rate.

Sources: The Bank of Korea, National Accounts, various issues.



- 30 -

Korea's GDP is estimated to grow by 4.4 percent in the first quarter of 2002, which is up from the previous quarter. Private consumption and construction investments, which are the engines for economic recovery, are forecast to grow by 4.2 percent and 7.2 percent, respectively. Equipment investments are forecast to decrease by 1.3 percent due to a consecutive drop in exports on a customs- cleared basis. In the National Accounts, total exports are forecast to grow by 1.5 percent while total imports are estimated to build up to 3.7 percent. A glimpse of a higher industrial production index in January led some economists to believe that the Korean economy was overheated. The industrial production index, however, turned to fall in February and exports continued to decline until March, which was a sign that Korea's GDP in the first quarter would not surpass the potential GDP. Conclusive evidence confirming that the economy is overheated has not found so far.

The 4.4 percent GDP growth rate in the first quarter was based on robust industrial activities indices. Although the industrial production index in February lost 2.6 percentage points due to the reduced number of working days accounting for Lunar New Year's holiday, the industrial production index increased by 3.8 percent between January and February due to a 10.2 percent upsurge in January. In particular, automobiles and audio telecommunication apparatus grew by 31.2 percent and 32.5 percent, respectively, in January. Like in January, however, the industries of refined petroleum products and leather/footwear decreased by 22.0 percent and 12.3 percent year- on- year, respectively. 

Producer's shipments between January and February increased by 8.5 percent for domestic demand recovered slowly. In January, with refined petroleum products decreasing, producer's shipments increased by 13.6 percent year- on- year because semiconductors, vehicles, audio and telecommunication equipment rose. Producer's shipments for exports increased by 5.5 percent due to an increase in the industries of semiconductor, audio and telecommunication equipment, vessels, and vehicles. Producer's shipments for domestic use increased significantly by 20.9 percent because of a sharp gain in vehicles, office and computing machinery, basic metals, audio and telecommunication equipment, and semiconductor industries. In February, 

- 31 -

producer's shipments increased by 3.4 percent. Producer's shipments for exports grew by only 0.9 percent due to a brisk increase in semiconductors and petrochemical, while producer's shipments for domestic use picked up 5.5 percent owing to a rise in audio telecommunication, semiconductor, and office and computing machinery.


<Figure 1>         Industrial Production and Consumption

 

Sources: National Statistical Office, Monthly Statistics of Industrial Production, various issues. 



<Figure 2>         Growth Rate of Producer's Shipments

 

Sources: National Statistical Office, Monthly Statistics of Industrial Production, various issues. 

- 32 -

Producer's inventory of finished goods continued to decline by 5.4 percent in January and 9.4 percent in February, which is down from the 1.7 percent fall the previous quarter as inventory in semiconductors and vehicles decreased (<Figure 3>). The average operations ratio marked 76.5 percent between January and February, which was higher than 72.4 percent the previous quarter. The rise is affected by a robust consumption even though refined petroleum products and office computing machinery declined. 

During the first quarter, private consumption is expected to grow by 4.2 percent as expenditure services and durable goods, also rose including vehicles and cellular phones, which was slightly lower than a 6.6 percent rise the previous quarter. According to industrial activities indices, the wholesale and retail industries jumped to 7.3 percent in January and 8.2 percent in February, up from 6.5 percent in the fourth quarter of 2001. The rise was buttressed by the extended sales of household appliances and vehicles in spite of a slump in agricultural and marine product sales (<Table 3>). Another consumption indicator, consumption goods shipments for domestic demand, grew by 16.9 percent in January, which is up from 0.8 percent the previous quarter. This sharp rise was helped by the solid sales of vehicles, cellular


<Figure 3>                 Inventory Cycle

 

Sources: National Statistical Office, Monthly Statistics of Industrial Production, various issues. 

- 33 -

phones, and water purifiers. This indicator continued to increase by 6.2 percent in February. 

Corporate equipment investments in the National Accounts are estimated to decrease by 1.3 percent year- on- year during the first quarter. This forecast is supported by a 2.4 percent rise in the estimate of equipment investment between January and February, which was somewhat higher than 1.6 percent previous quarter. The estimate of equipment investments increased by 5.8 percent in January, hit by a rise in machinery for industry use, while it decreased by 1.0 percent in February because of the reduced number of working days during the Lunar New Year's holiday. Domestic machinery orders increased by 21.2 percent between January and February, up from - 7.1 percent the previous quarter, as private and public orders grew. Construction investments in the National Accounts are estimated to grow by 7.2 percent in the first quarter from 10.7 percent the previous quarter. Domestic construction orders went up by 39.5 percent in January and 41.9 percent in February, affected by an increase in residential construction orders in the private sector and a rise in road and bridge construction orders in the public sector. 


<Figure 4> Equipment Investment Estimates and Domestic Construction Orders

 

Sources: National Statistical Office, Monthly Statistics of Industrial Production, various issues. 

- 34 -

As consumption and construction investments went up, the cyclical component of the coincident composite index (CI) in February implied that the Korean economy was recovering after hitting the trough in the third quarter of 2001. The cyclical component of the coincident CI recorded 99.2 in February, up 1.2 percentage points from 98.0 trough in August 2001. Though the growth rate of the cyclical component of the coincident CI was not steep and export growth rates were negative, the speed of recovery seemed to be sluggish. However, the leading CI turned to rise after hitting a low in January 2001, and it reached 5.7 percent in January 2002 and 6.1 percent in February 2002. The rise has been relatively higher than those in the past, with exception to the 1997 economic crisis, indicating that the economy may rebound fast in the second half of the year (<Figure 5>).


<Figure 5> Changes in the Leading CI and Cyclical Component of the Coincident CI

 

Sources: National Statistical Office, Monthly Statistics of Industrial Production, various issues. 






<Table 3>           Industrial Activities Indices 

- 35 -

(Unit: yoy, %)

2000

2001

2002

Year

1Q

2Q

3Q

4Q

Year

Jan.

Feb.

Produc

- tion


Industrial Production

(Light Industry)

(Heavy Industry)

Producer's Shipment

(Domestic)

(Export)

Producer's Inventory1)

Avg. Operation Ratio 

16.8

3.3

20.4

16.7

12.7

21.7

16.2

78.3

5.1

- 4.8

6.9

2.2

- 3.0

8.9

15.3

73.9

1.6

- 1.7

2.1

1.0

2.6

- 1.0

15.0

74.3

- 1.8

- 2.6

- 2.1

- 2.3

3.9

- 9.4

10.9

72.2

2.3

- 3.4

3.1

2.9

4.1

1.6

- 1.7

72.4

1.8

- 3.1

2.4

0.9

1.9

- 0.3

- 1.7

73.2

10.2

11.5

9.8

13.6

20.9

5.56- 5.4

76.4

- 2.6

- 6.8

- 2.3

3.4

5.5

0.9

- 9.4

76.5

Consu

- mption

Wholesale and Retail 

Shipment of Consumer Goods 

9.8

6.4

2.5

- 8.1

4.4

5.0

4.8

10.5

6.5

0.8

4.6

1.9

7.3

16.9

8.2

6.2

Invest-

ment

Equip

- ment 

Domestic Shipment of Machinery

Imports of Machinery

Equipment Investment Estimate

Domestic Machinery Orders

(Public)

(Private)

37.5

40.6

30.1

11.7

67.6

7.1

- 6.6

0.2

- 5.4

3.7

229.0

- 13.0

- 7.4

- 30.1

- 4.3

5.3

115.7

- 4.7

- 10.6

- 26.3

- 11.8

- 5.7

18.0

- 7.8

2.2

- 14.7

1.6

- 7.1

- 38.1

1.7

- 5.6

- 18.4

- 5.1

- 1.0

38.5

- 6.2

33.4

- 21.5

5.8

27.9

86.8

21.5

10.7

- 30.5

- 1.0

14.5

- 30.7

20.0

Const  - ruction

Domestic Construction Orders

(Public)

(Private)

15.1

- 8.8

23.8

- 25.8

- 34.7

- 24.5

1.7

30.7

- 25.3

17.0

21.7

44.7

60.198.8

43.7

14.4

40.1

3.1

39.5

34.1

68.6

41.9

8.1

64.2

Unemployment Rate (%)   

4.1

4.8

3.5

3.3

3.2

3.7

3.7

3.7

Dishonored Bills Ratio (%) 

0.26

0.33

0.23

0.20

0.17

0.23

0.06

0.99

Note: 1) End of period. 

Sources: 1) National Statistical Office, Monthly Statistics of Industrial Production, various issues.

The Bank of Korea, Money & Banking Statistics, various issues.


2) Forecast


For 2002, the Korean economy was forecasted to grow at a slower pace in the first quarter but will grow faster in the second quarter as exports grow positively. This forecast is based on economic sentiments and leading macroeconomic indicators. The leading composite index, year- on- year, and the consumer expectation index continued to rise until February this year. According to the Bank of Korea's ‘Business Survey Index During the First Quarter of 2002’, the manufacturing industry's BSI rose to 90, up from 85 the previous quarter, and the BSI for profit increased to 89, up from 85 the previous quarter. The BSI by the Federation of Korean 

- 36 -

Industries (FKI) rose to 110.7 in February from 75.9 last October. 


<Figure 6>            Business Survey Index (BSI) Trends

Note: The peak of the business cycle (P) in August 2000 and the trough (T) in August 2001 are KIF forecasts.

Source: The Bank of Korea.


<Figure 7>     Trends of Forecasted Business Survey Index (BSI) 

 

Note: The peak of the business cycle (P) in August 2000 and the trough (T) in August 2001 are KIF forecasts.

Source: The Bank of Korea.

The Korean economy will rebound fast if IT industries in the U.S. recover. 

- 37 -

Recently, inventory adjustment in the semiconductor sector almost ended and demand- supply circumstances in IT industries improved. In the Korean semiconductor


<Table 4>        Trends and Forecasts of Economic Growth1)

(Unit: %)

2001

2002

1st Half

2nd Half

Year

1Q

2Q

3Q

4Q

GDP 

3.0

4.4

5.0

4.7

5.6

5.4

5.5

5.1

Consumption

(Private)

Fixed Investment

(Construction)

(Equipment)

Exports2)

Imports2)

3.7

(4.2)

- 1.7

(5.8)

(- 9.8)

1.0

- 2.8

3.7

(4.2)

2.9

(7.2)

(- 1.3)

1.5

3.7

4.1

(4.8)

3.0

(5.0)

(0.5)

3.8

7.5

3.9

(4.5)

3.0

(6.1)

(- 0.4)

2.7

5.6

4.9

(5.5) 

5.9

(5.5)

(6.7)

5.4

7.8

5.1

(5.4)

6.8

(5.7)

(8.2)

6.5

6.7

5.0

(5.5)

6.4

(5.6)

(7.5)

6.0

7.3

4.5

(5.0)

4.7

(5.9)

(3.6)

4.4

6.5

Notes: 1) Year- on- year percentage changes. 

2) Figures in 2002 are KIF forecasts. 

3) Goods and services.

Sources: The Bank of Korea, National Accounts, various issues.


<Table 5>      Contributions to the Growth Rate by Factor1)

(Unit: %)

2001

2002

1st Half

2nd Half

Year

1Q

2Q

3Q

4Q

GDP 

3.0

4.4

5.0

4.7

5.6

5.4

5.5

5.1

Consumption

(Private)

Fixed Investment

(Construction)

(Equipment)

Inventories

Net Export

2.1

(2.2)

- 0.6

(0.8)

(- 1.4)

- 0.1

1.7

2.3

(2.2)

0.7

(0.9)

(- 0.2)

1.5

- 0.5

2.4

(2.4)

0.8

(0.7)

(0.1)

1.1

- 0.5

2.4

(2.3)

0.8

(0.8)

(- 0.1)

1.3

- 0.5

2.9

(2.8) 

1.6

(0.9)

(0.7)

0.1

0.1

2.9

(2.6)

1.8

(0.9)

(0.8)

0.1

1.0

2.9

(2.7)

1.7

(0.9)

(0.8)

0.1

0.6

2.7

(2.5)

1.3

(0.9)

(0.4)

0.7

0.1

Notes: 1) Year- on- year percentage changes. 

Contribution = (Change in each factor/Change in GDP) × GDP growth rate.

2) Figures in 2002 are KIF forecasts. 

Sources: The Bank of Korea, National Accounts, various issues.


industry, Samsung Electronics Company and Hynix Semiconductor Inc., two major 

- 38 -

DRAM manufacturing companies, downscaled their excess inventories, and the average price of 128M SD RAM rose from US$1.00 level in October 2001 to US$3.70 in February 2002.

Considering the circumstances above, Korea's GDP in the second quarter is forecast to grow by 5.0 percent due to a sharp increase in consumption and a recovery in exports. Korea's GDP will not reach its expected growth if any of the following occur: heightened fears concerning the financial crisis in Japan, an upsurge in oil prices caused by the expansion of the War on Terrorism, severe trade frictions, and further devaluation of the Japanese yen. The engine for growth will be the low interest policy, fiscal expansion, a rise in private consumption (due to an increase in household credit and a bullish stock market) and brisk construction investments. In particular, since the government enlarged the constructional budget and expanded the volume of common houses to be built, construction investments are forecast to grow in the second quarter.

Due to a bullish stock market, an increase in household credit, additional procurements of the World Cup soccer tournament, and improved terms of trade with the recovery of the semiconductor industry, private consumption is expected to grow by 4.8 percent in the second quarter of 2002. According to a survey by the National Statistical Office, the consumer expectation index, which measures consumers' outlook regarding economic growth and spending for the next six months, increased to 106.7 in January 2002 from 82.2 in December 2000. The BOK's consumption planning consumer survey index (CSI) went up to 121 in the first quarter of 2002 from 111 the previous quarter. The increases in both the consumer expectation index and the CSI foreshadow favorable conditions for consumption in the second quarter.





<Figure 8>       Contributions to the Growth Rate by Factors

- 39 -

 



<Figure 9>   Consumer Expectation and Consumer Evaluation Indices

 

Source: National Statistical Office.


Equipment investments in the National Accounts are forecast to increase by 0.5 

- 40 -

percent in the second quarter due to a rise in exports, up from a 1.3 percent decline the previous quarter. This positive forecast is supported by the fact that the BSI for the execution of equipment investments increased to 94 from 89 the previous quarter. Construction investments will increase by 5.0 percent as orders for construction in the public sector increase and housing construction builds up with the government's help in the housing industry.


Price and Wage


1) Review


During the first quarter of 2002, the consumer price index (CPI) increased by 2.5 percent year- on- year and went up by 1.0 percent month- on- month (<Table 6>). Although agricultural product prices and housing rent increased significantly, the CPI continues to be down from last year because of the fall in the prices of petroleum and the public services. In January, the CPI rose by 2.6 percent year- on- year. This was attributable to a 0.3 percent fall in manufacturing product prices, notwithstanding a 8.3 percent gain in agricultural and marine product prices due to the Lunar New Year's holiday and a 5.8 percent gain in housing rent. In February, the CPI increased by 2.6 percent year- on- year due to a 1.2 percent decline in the price of public services and a 7.0 percent fall in petroleum despite a 9.8 percent rise in agricultural and marine product prices and a 6.0 percent gain in housing rent. In March, the CPI rose by 2.3 percent year- on- year in the three consecutive months. By item, food products grew by 4.0 percent, although the vegetables and seaweed products went down 7.3 percent due to an increase in shipments, and fruits and meats both grew by about 22 percent. The price of petroleum decreased by 6.6 percent, stabilizing the CPI. Education fees jumped to 5.2 percent due to an increase in tuition at public schools and fees at private institutions. Throughout the quarter, the CPI continued to rise month- by- month: by 0.6 percent in January, 0.5 percent in February, and 0.6 percent in March. 

- 41 -

During the first quarter, the producer price index (PPI) rose by 0.7 percent quarter- on- quarter. In January and February, agricultural and marine products increased to the seasonal factor and demand during the Lunar New Year's holiday. In March, an increase in the prices of raw materials, including oil, was the main cause for the boost in the PPI. By month, the PPI in January increased by 0.6 percent month- on- month. Agricultural and marine products went up by 3.5 percent month- on- month, and electric, water, and gas prices decreased by 2.8 percent because of a decline in the city gas price. In February, the PPI, month- on- month, went up 0.6 percent. Agricultural and marine product prices increased by 1.5 percent while fruit and vegetable prices also increased due to the seasonal factor. Manufacturing product prices rose by 0.7 percent due to a hike in the imposition tax for public health promotions and a rise in the international price of petroleum products. In March, the PPI increased by 0.6 percent month- on- month. Agricultural and marine product prices dropped by 2.8 percent due to an increase in the shipment of vegetables. Manufacturing product prices, however, only built up to 0.7 percent as crude oil prices rose and petrochemical product prices jumped up. 

In the first quarter of 2002, import prices rose by 2.1 percent quarter- on-  quarter, due to an increase in the won/dollar exchange rate and raw material prices. By month, import prices in January increased by 1.8 percent due to a rise in the


<Table 6>                  Trends of Prices1)

(Unit: %)

2001

2002

4Q

Jan.

Feb.

Mar.

1Q

Consumer Price Index

3.4

2.6

2.5

2.3

2.5

Agricultural & Marine

7.4

4.1

11.2

5.8

8.5

Manufacturing

0.9

1.2

0.2

0.5

0.1

Service

4.1

3.2

2.6

2.8

2.9

Note: 1) Percentage changes from the previous year.

Sources: National Statistical Office, Consumer Price Index, various issues.

- 42 -

prices of fundamental raw materials. In February, import prices rose by 1.0 percent. The rise in import prices was caused by an increase in crude oil prices and the reduced volume of supply, though the price competition amongst domestic products reduced capital and consumption goods prices. In March, import prices grew by 4.4 percent due to a rise in crude oil prices and petroleum products. In particular, raw material prices grew by 5.2 percent. During the first quarter, export prices rose by 1.4 percent quarter- on- quarter. This was basically attributable to the increase in raw material prices and the increased won/dollar exchange rate. In January, export price increased by 1.9 percent month- on- month. The increase in export prices was caused by an increase in raw materials, the won/dollar exchange rate, and demand from the main export area. In February, export prices went up 0.3 percent due to the increase in raw material prices although textiles, cloths, leather and assembling metal goods dropped. In March, export prices continued to increase by 1.9 percent. By item, manufacturing and rubber product prices increased by 2.0 percent and 11.2 percent, respectively, as a result of the weak won, a rise in raw material prices, and a positive outlook on the global economic recovery.


<Figure 10>        Consumer and Producer Price Indices

 

Sources: National Statistical Office and the Bank of Korea.

In January, the unemployment rate recorded 3.7 percent. The number of people 

- 43 -

unemployed was down to 163,000 (- 0.9 percentage points) year- on- year and the number of people employed went up to 739,000 (3.6 percentage points). This was caused by a decrease in employment in the construction industry and a rise in job searching activities by registered college students. In February, the unemployment rate was the same as it was in January, and the number of people unemployed was down by 267,000 year- on- year. The number of people unemployed decreased in all age groups and, in particular, there was a 4.8 percentage points decline in the juvenile group. The number of employed people increased by 21 million, a 0.4 percent increase from the previous month. Male and female workers both increased, and there was a rise in the number of workers in most of the industries with the exception of the manufacturing industry.

The yearly average wage in all industries grew by 5.8 percent until November 2001, which was lower than the 8.4 percent growth in 2000. In the first quarter, wages increased by 8.6 percent, but the wage rate has slowed by 4.7 percent in the second quarter and 4.8 percent in the third quarter of 2001. During the first quarter of 2002, wages were estimated to grow by 5.8 percent.


<Figure 11>                 Growth Rate of Wages

Source: National Statistical Office.

2) Forecast

- 44 -


During the second quarter, CPI inflation will mark 2.6 percent in spite of the economic recovery. On the demand side, the real GDP is expected to fall short of the potential GDP, reducing inflationary pressure. On the cost- push side, inflationary pressure will not be high for the following reasons. Public service fees will not rise significantly in the second quarter, compared to the first quarter, due to the seasonal factor and the stability of prices for worldwide trade. A global recession will act as a positive factor in stabilizing prices internationally. In addition, unless international instability is widespread, international oil prices, on an annual basis, will not be higher than that of last year.

The World Cup and local elections will not raise inflation. In the past, the CPI growth rate went down from 7.7 percent to 5.4 percent during 11 months before and after the 1988 Olympic Games. Before and after the 1987 and 1997 presidential elections, the CPI growth rate increased by 4.2 percentage points and 4.5 percentage points, respectively, but the CPI growth rate declined by 2.1 percentage points before and after the 1992 presidential election. 


<Table 7>        Trends and Forecasts for Prices and Wages1)

(Unit: %)

2001

20022)

1Q

2Q

3Q

4Q

Year

Consumer Price Index

4.3

2.5

2.6

2.5

3.0

2.7

Agricultural & Marine

4.6

8.5

4.1

2.8

6.3

5.4

Manufacturing

3.0

0.3

1.2

2.2

3.6

1.8

Service

5.2

2.8

3.2

2.6

1.6

2.6

Producer Price Index

1.9

- 0.7

- 1.4

- 0.3

0.5

- 0.5

Avg. Industry Wages

5.8

5.8

5.5

6.5

6.2

6.0

Notes: 1) Percentage changes from the previous year.

2) Figures after the second quarter of 2002 are forecasts.

Sources: National Statistical Office, Consumer Price Index, various issues.

The Bank of Korea, Monthly Bulletin, various issues.

Ministry of Labor, Report on Monthly Labor Survey, various issues.


The unemployment rate will record 3.8 percent in the second quarter as the 

- 45 -

economy will rebound, which is lower than 4.1 percent in the first quarter. Wages may rise to 5.5 percent, which is lower than the first quarter. An increase in exports and local elections will be factors contributing to the rise in wages, while structural and institutional changes, such as non- regularized employment and reduced working hours, will weaken the call for a raise in wages. 

- 46 -

The Balance of Payments


1) Review


Korea recorded an $1.8 billion surplus in the current account in the first quarter of this year. Despite a $0.3 billion deficit in the travel account and a $0.4 billion deficit in the service account, there was a $0.3 billion monthly surplus in January thanks to the surplus in the goods account. In February, the surplus edged up to $0.4 billion, $0.1 billion improvement from the previous month, though there was a decrease in the number of business days due to the Lunar New Year's holiday and the $0.5 billion deficit in the service account. The current account surplus in the last month of the first quarter shot up to $1.8 billion with the goods account recording a $2.0 billion surplus.

As for the capital account, the inflow of capital was $0.9 billion more than the outflow in the first quarter. The large inflow of foreign portfolio investments in January swamped the redemption of development institutions' long- term bonds and the outflow of net foreign stock investments between February and March.

During the first quarter of 2002, exports on free on board (FOB) terms


<Figure 12>    Exports, Imports, and Balance of Goods Account

Source : The Bank of Korea, Balance of Payment, various issues.

- 47 -

declined 11.0 percent, recording $35.7 billion. Although the decline in exports slowed down, eventually bottomed out, in the first quarter, exports by month were quite volatile. In January, exports recorded $11.4 billion, which is down 9.9 percent year- on- year. Since May 2001, it was the first time that monthly exports declined less than 10 percent from the previous year. One for the drastic change may be attributable to the Lunar New Year's holiday: Because the holiday is based on the lunar calendar, the dates of the holiday change year by year on the solar calendar.

On a seasonally adjusted base, including the Lunar New Year's Holiday, exports declined about 12 percent in January. Last year the Lunar New Year's holiday fell in January, while this year the holiday was celebrated in February. As effects of the holiday are passed over onto the next month, exports in February suffered a large decline of 17.4 percent from a year ago. In March, exports rekindled hope for recovery by recording $13.3 billion, a mere - 5.7 percent decrease compared to last March.

During the first quarter of 2002, imports (c.i.f) declined by 11.6 percent, recording $33.7 billion. Imports in January shrank by 8.9 percent year- on- year to $11.5 billion.  Behind the deceleration of the shrinkage in imports was an increase


<Figure 13>    Foreign Portfolio Investments, Foreign Direct Investments, 

and Balance of Capital Account

- 48 -

in the import of consumer goods, which stocked up in preparation for the expected spending boom during the Lunar New Year. Imports dipped down by 17.9 percent again to earn $10.5 billion in February. Again, part of decrease was due to the reduced number of business days as the Lunar New Year fell in February this year. Considering the fact that the daily imports volume was around $0.37 billion, the three day holiday made a 9.0 percent difference. In March, imports recorded $11.9 billion, down by 8.1 percent, reflecting the continued inactivity in domestic corporate investments. 

As for exports by commodity, the performance of semiconductors improved in the first quarter, recording $3.7 billion, which is down by 23.6 percent year- on- year.


<Table 8>                Current Account Trends

(Unit: $100 mil.)

2001

2002

1Q

2Q

3Q

4Q

Year

1Q1)

Current Account

Goods

Service

Income

Current Transfer

27.7

32.6

- 2.1

- 3.8

1.1

37.6

50.4

- 6.4

- 5.3

- 1.1

10.3

29.2

- 14.3

- 1.3

- 3.3

10.5

21.7

- 12.4

1.6

- 0.4

98.7

133.9

- 35.3

- 8.9

- 3.6

17.1

32.7

- 14.3

- 0.2

- 1.0

Capital Account

- 41.9

- 30.3

13.0

23.4

- 35.8

9.1

Note: 1) Estimates

Source: The Bank of Korea, Balance of Payment, various issues.


<Table 9>       Trends of Exports (f.o.b) and Imports (c.i.f)

(Unit: $100 mil., %)

2001

2002

1Q

2Q

3Q

4Q

Year

1Q

Export(f.o.b)

(yoy, %)

401.2

(2.2)

383.6

(- 11.6)

356.1

(- 19.8)

363.5

(- 19.6)

1,504.4

(- 12.7)

357.0

(- 11.0)

Import(c.i.f)

(yoy, %)

381.2

(- 1.8)

344.9

(- 13.4)

341.6

(- 15.5)

343.4

(- 17.1)

1,411.0

(- 12.1)

336.9

(- 11.6)

Source: Ministry of Commerce, Industry and Energy, Report of Exports and Imports, various issues.

- 49 -

In the previous quarter, it was - 54.5 percent. The rising trend in computer chip prices, especially the prices for long- term contracts helped semiconductor exports. For example, the price of the 128M SDRAM chip improved by 113 percent in the first quarter.

Although exports of computers including peripheral equipments remained flat with a 0.7 percent growth in the first quarter, wireless communication equipment showed a robust growth, recording a 32.1 percent increase year- on- year. A continuous rise in liquid crystal display (LCD) prices with an economic recovery in the U.S. supported the improvement in computer exports. In the case of wireless communication equipment exports, the development of the overseas market, such as the CDMA service in China, was the key factor in the rise. Exports growth of automobiles showed a continuous upward trend throughout the first quarter, recording a 12.7 percent increase year- on- year. On the other hand, petrochemical exports suffered a 8.2 percent decline during the first quarter due to the poor economic performance in the Asian region, including Japan, which has been be largest export market for Korea. Steel exports also decreased by 12.4 percent. The stagnant steel market, which had a chronic over- supply problem, subsequent and tightened import restrictions of steel products in the U.S., and the retaliatory response from other countries including the European Union, had direct effects on the Korean exports of steel products.

As for imports by commodity and by use, the import of raw materials declined by 13.1 percent as the price of crude oil fell continuously in the first quarter. Capital goods imports also continued to fall as domestic equipment investments remained depressed. In contrast, imports of consumer goods increased by 21.0 percent, boosted by an optimistic consumer psychology and the holiday (the Lunar New Year's holiday) spending spree. The import price of raw materials declined by 17.8 percent year- on- year in the first quarter while that of capital goods fell by 14.5 percent due to a steep fall in the unit import price of machinery (- 19.1 percent) and transportation equipment (- 11.3 percent).

As for exports by region, the U.S. remained the first destination for Korean exports, with a particularly large increase in automobile exports. Exports to Japan,

- 50 -

<Figure 14>             Trends in Semi- conductor Prices

Source: Bloomberg


historically the second largest market for Korean exports, continued to decrease and recorded - 24.3 percent in the first quarter; thereby sliding down from the number two slot. The Chinese share of Korean exports jumped up recently with the steady growth of the Chinese economy, making China Korea's second largest trading partner. Despite a rise in the export of wireless communication equipment, exports to EU decreased by 10.5 percent because of the stagnancy in the exports of computers and textiles.

Because the fall in the unit import price far surpassed that of the unit export price, the terms of trade index increased by 6.3 percent year- on- year to 103.7 in the first quarter of 2002. Since the third quarter of 2000, when it recorded 101.3, this was the first time the index topped the 100 point mark.

The won/dollar exchange rate in January gradually rose up to 1,310 won/dollar, following movements in the yen/dollar exchange rate.  In spite of fierce opposition from neighboring Asian countries, the rise in the yen/dollar exchange rate was fuelled by the possible further devaluation of th yen by Japanese policy makers. The won/dollar exchange rate in February remained stable within the band of 1,310 won/dollar and 1,320 won/dollar as supply and demand were balanced in the

- 51 -

<Table 10>       Exports and Imports by Item and Area

(Unit: $100 mil.)

2001

2002

3Q

4Q

Year

1Q

Export

356.1

363.5

1,504.4

357.7

Heavy Industry

Light  Industry

258.8

66.9

275.7

60.4

1,212.0

250.8

297.1

52.8

US

Japan

EU

ASEAN

China

Middle East

Latin America

78.5

36.8

46.0

40.4

45.4

17.5

20.8

76.8

36.7

46.0

38.9

44.9

17.8

21.1

312.1

165.1

196.3

164.6

181.9

71.4

97.3

75.1

33.8

48.3

42.5

45.8

16.7

20.3

Import

341.6

343.4

1,411.0

336.9

Raw material

Capital goods

Consumption goods

174.0

125.4

42.1

167.6

129.5

46.3

737.1

517.0

156.9

173.8

120.3

42.0

US

Japan

EU

ASEAN

China

Middle East

Latin America

52.7

65.2

37.2

36.5

34.1

53.3

9.4

52.8

65.7

38.2

38.6

36.3

49.1

9.2

223.8

266.3

149.2

159.2

133.0

233.9

34.5

51.5

61.6

36.9

40.3

36.0

49.9

8.7

Source: Ministry of Commerce, Industry and Energy, Report of Exports and Imports, various issues.


market. In March, profit taking by foreign investors in the Korean stock market had caused a huge outflow of foreign capital, causing the won/dollar rate to rise again. However, the trade account surplus in March and the stabilization of the yen/dollar rate restricted the upward movement to a moderate level.


2) Forecast


Exports in the second quarter of 2002 are expected to turn around to recorded a positive growth, a possible 10.7 percent increase year- on- year. The gradual recovery of 

- 52 -

the U.S. economy will help boost world demand for imports, and a rise in the prices of major export items will be an additional plus to exports. As exports improve and the economy recovers, imports will show a high growth rate of 17.2 percent year- on- year. In balance, the trade account and the current account during the second quarter are expected to record $2.0 and $1.5 billion, respectively.

Exports are expected to increase 8.6 percent year- on- year to $162 billion, while imports will rise by 9.8 percent to $155 billion in 2002. In balance, the trade account will show a $7 billion surplus. Along with the rising international prices of semiconductors, petrochemicals, and steel products, exports will accelerate as early as the second quarter of 2002, depending on the conditions of the global economy. Trade conditions in the global markets are expected to improve in the second half of 2002, after the major economies, including the U.S. and the European Union, bottom out in the first quarter. Major concerns regarding imports include the movement of crude oil prices and the possibility of overheating the Korean economy. International oil prices are expected to remain stable during the first half of the year, but may rise in the second half as the demand for oil increases. Given the overcapacity accumulated during the past boom period, however, the rising demand for oil may not directly lead to an increase in the import of capital goods.

The dollar is likely to remain weak for some time since the demand for the dollar is expected to weaken. Thus, the won/dollar exchange rate will strengthen. Other factors behind the strength of the won/dollar rate is the expected appreciation of the Japanese yen, the weakening U.S. dollar, and positive domestic economic conditions in Korea. Besides the slow recovery of the U.S. economy, the U.S.'s large current account deficit makes the U.S. dollar appear overvalued and scares investors away from buying assets in dollars. In contrast, Korea's trade balance continued to record a surplus, and foreign investments flowed in as the nation's sovereign credit rating was upgraded by major world credit rating agencies.

The won/dollar exchange rate average is expected to fall back to the 1,250~1,280 won per U.S. dollar band in the second half of the year as foreign capital returns to the U.S. with the steady recovery of the economy and stock markets.

- 53 -

<Figure 15>            Trends of the Book- to- Bill Ratio

Source: Semiconductor Industry Association


<Table 11>  Trends and Forecasts for the Current Account1)

(Unit: $100 mil. %)

2001

2002

1st half

2nd half

Year

1Q

2Q

3Q

4Q

Current account

Goods account

Exports(BOP)

Imports(BOP)

Service account

Income account

Current transfer

86.2

133.9

1,513.7

1,379.8

- 35.3

- 8.9

- 3.6

17.1

32.7

361.3

328.6

- 14.3

- 0.2

- 1.0

15.1

28.5

427.1

398.6

- 10.2

- 2.1

- 1.1

32.2

61.2

788.4

727.2

- 24.5

- 2.3

- 2.1

6.6

13.8

419.8

406.0

- 5.4

- 2.2

0.4

11.1

16.8

446.2

429.4

- 0.4

- 3.8

- 1.5

17.7

30.6

866.0

835.4

- 5.8

- 6.0

- 1.1

49.9

91.8

1,654.4

1,562.6

- 30.3

- 8.3

- 3.2

Exports(f.o.b)

(yoy, %)

Imports(c.i.f)

(yoy, %)

1,504.4

(- 12.7)

1,483.7

(- 12.1)

357.6

(- 10.9)

336.9

(- 11.6)

424.7

(10.7)

404.3

(17.2)

782.3

(- 0.3)

741.2

(2.1)

413.3

(16.1)

410.3

(20.1)

439.0

(20.8)

435.7

(26.9)

852.3

(18.5)

846.0

(23.5)

1,634.6

(8.7)

1,587.2

(12.5)

Won/dollar

exchange rate2)

1,291

1,322

1,290

1,306

1,285

1,292

1,288

1,297

Notes: 1) Figures in parentheses represent percentage changes from the previous year.

2) Period averages.

Sources: Ministry of Commerce, Industry and Energy, Report of Exports and Imports, various issues.

- 54 -

Money and Interest Rates


Money


1) Review


During the first quarter of 2002, uncertainties over international and domestic economic conditions still lingered and exports continued their declining trend. However, the Korean economy as a whole showed signs of improvement driven by strong private consumption and construction investments. Despite seasonal factors, like the Lunar New Year's holiday, consumer prices remained subdued due to a decline in oil prices and international raw material prices, which offset increases in agricultural product prices and housing rent. In the financial markets, there was an ample supply of liquidity in the corporate sector because of the weak demand for funds by corporate sectors, the reduced amount of matured bonds and a solid growth in bank loans to small and medium sized enterprises. Low interest rates and bullish stock markets also provided solid grounds for raising funds in the corporate sector. At the same time, there were growing concerns that an increase in speculative funds and household loans would instigate a bubble in real estate prices.

Under such economic conditions, the Bank of Korea (BOK) maintained its benchmark overnight call rate at its current level of 4 percent throughout the first quarter. The decision to do this was based on the consensus that it was still uncertain whether exports would fully recover in spite of increasing apprehension of a possible real estate bubble amid a strong economic recovery. The BOK generally absorbed much of the abundant supply of liquidity through open market operations while keeping the low interest rate policy. In January, the BOK absorbed 3.9 trillion won of short- term excess liquidity that was withdrawn for the redemption of borrowings and year- end closings. Entering March, concerns regarding excess liquidity further made the BOK absorb market liquidity through the net issuance of Monetary Stabilization Bonds (MSBs) and RP operations. 

- 55 -

The growth rates of major monetary aggregates showed high volatility because the Lunar New Year holidays fell on different dates compared to last year. In 2001, the Lunar New Year fell on January 24, while in 2002 it was on February 12. However, the growth rates of major monetary aggregates on the whole showed an increasing trend thanks to the solid growth of bank deposits and loans, and the rebound in the non- banking sectors' deposits.

Despite an increase in domestic credit, the M2 growth rate decreased to 12.6 percent in January compared to the previous month. This was largely attributable to the net absorbtion of liquidity from the government sector following increased receipts of value added tax and the relatively higher level of M2 during the same period of last year. In February, the M2 growth rate increased to 14.7 percent, which was mainly led by the expansion in fiscal expenditures for the Lunar New Year holidays. Entering March, a rapid increase in credit to the private sector, centering on bank lending, contributed to the M2 growth rate's interesting trend.


<Table 12>           Trends in Monetary Growth Rates1)

(Unit: %)

2000

2001

2002

3/4

4/4

year

1/4

2/4

3/4

4/4

year

Jan.

Feb.

Mar.

1/42)

Reserve Money3)

21.6

14.3

20.3

11.7

10.6

8.9

14.6

11.4

7.1

20.3

17.6

15.0

M14)

15.4

13.4

16.5

11.6

12.1

14.0

19.7

14.3

16.3

28.9

26.0

23.7

M25)

34.4

26.3

30.3

21.5

15.4

12.9

13.7

15.9

12.6

14.7

16.2

14.5

MCT6)

15.7

12.7

14.4

10.9

9.0

9.0

11.4

10.1

11.8

12.7

13.5

12.7

M37)

5.5

6.7

5.6

8.2

8.2

10.3

11.5

9.6

11.6

-

-

-

Notes:1)Year- on- year growth rates of the average balance. 

2) Preliminary values. 

3) Reserve Money = bank notes + reserves of deposit money banks. 

4) M1 = currency + demand deposits. 

5) M2 = M1 + savings deposits + foreign currency deposits. 

6) MCT = M2 + CDs + money- in- trusts. 

7)M3 = M2 + deposits in non- bank financial institutions + debentures issued + commercial bills sold + CDs + RPs. 

Sources: The Bank of Korea, Money and Banking Statistics (various issues), Trends of Financial Market in March.

- 56 -

In January, the M3 growth rate recorded 11.6 percent, which was up a little from 11.3 percent in December last year, in response to the increased inflow of funds into hybrid stock- type funds and MMFs managed by investment trust management companies (ITMCs). The MCT growth rate during the first quarter also


<Figure 16>     Discrepancies between Monetary Growth Rates


<Table 13>              Stock Investments by Foreigners


2000

2001

2002

1/4

2/4

3/4

4/4

year

Jan.

Feb.

Mar.

1/4

Net Inflow1)

116.1

27.1

14.9

- 3.9

37.2

75.3

5.6

- 3.8

- 1.2

0.6

Inflow1)

600.6

116.3

108.6

83.4

131.2

439.5

61.6

40.3

71.6

173.5

Outflow1)

484.5

89.2

93.7

87.3

93.9

364.2

56.0

44.1

72.8

172.9

Net Purchase2)

131,434

34,057

17,333

- 4,336

42,028

89,082

5,923

- 6,908

- 11,277

- 12,262

KSE2)

115,110

31,438

15,429

- 5,046

34,496

76,317

3,557

6,991

- 11,751

- 15,185

KOSDAQ2)

16,234

2,619

1,904

710

7,532

12,765

2,366

83

474

2,923

Notes: 1) Units are in 100 million dollar.

2) Units are in 100 million won.

Sources: The Korea Stock Exchange, Monthly Bulletin, various issues. 

http://www.kosdaq.or.kr

- 57 -

expanded to 12.7 percent from 10.1 percent during the fourth quarter of 2001. As a result, the discrepancies between the M2 and M3 growth rates have narrowed further while the discrepancies between M2 and MCT growth rates expanded during the first quarter. The growing discrepancies between monetary growth rates imply that monetary aggregates do not accurately reflect market liquidity conditions.


<Table 14>          Monetary Stabilization Bonds Issued

(Unit: billion. won)

2000

2001

2002

1/4

2/4

3/4

4/4

year

Jan.

Feb.

Mar.

1/4

Issuance

98,470

29,847

16,337

20,194

11,655

78,033

6,990

5,000

9,125

21,115

Net Issuance

14,887

8,703

- 2,901

6,101

840

12,743

1,244

- 1,275

3,380

3,349

Balance

66,378

75,081

72,180

78,281

79,121

79,121

80,365

79,090

82,470

82,470

Note:1)Preliminary values.

Source: The Bank of Korea, Monthly Bulletin, various issues. 


<Table 15>                 Multipliers and Velocities1)

(Unit: Times)

2000

2001

2002

3/4

4/4

year

1/4

2/4

3/4

4/4

year

1/4

Reserve Money

Velocity

19.49

19.57

19.83

19.14

18.93

18.64

17.83

18.64

-

M1

Multiplier

1.47

1.50

1.49

1.50

1.53

1.54

1.57

1.53

1.61

Velocity

13.21

13.03

13.27

12.83

12.35

11.92

11.47

12.14

-

M2

Multiplier

14.56

14.72

14.26

14.46

15.09

15.11

14.61

14.82

14.42

Velocity

1.35

1.32

1.39

1.30

1.27

1.24

1.21

1.26

-

MCT

Multiplier

17.89

17.82

17.86

17.33

18.01

17.92

17.33

17.65

17.00

Velocity

1.10

1.09

1.11

1.08

1.07

1.05

1.02

1.05

-

M3

Multiplier

33.16

33.18

33.50

32.33

33.56

33.61

32.29

32.94

31.18

Velocity

0.59

0.58

0.59

0.58

0.57

0.56

0.55

0.56

-

Note:1)Money Multipliers are the ratios of each monetary aggregate to the volume of the reserve money. The velocities of money represent the ratios of seasonally adjusted nominal GDP of each seasonally adjusted monetary aggregate. 

Sources: The Bank of Korea, Money and Banking Statistics (various issues), Trends of Financial Market in March. 


- 58 -

During the first quarter, deposit- taking by financial institutions showed a stable increasing trend though a portion of the market funds shifted from ITMCs to the banking sector because of expectations of an interest rate hike following the economic recovery. Deposit- taking by deposit money banks (DMBs) jumped by 20.9 trillion won, largely centering on time deposits, while deposits at ITMCs reached 15.0 trillion won. Bond- type beneficiary securities experienced a 5.3 trillion won outflow in the wake of rising interest rates, while MMFs attracted 13.0 trillion won due to the increased appetite for short- term financial assets. Boosted by bullish stock markets, inflow of funds into stock- type beneficiary securities expanded to 7.3 trillion won.


<Table 16>   Recent Deposit Changes at Financial Institutions1)

(Unit: billion won)

2001

2002

1/4

2/4

3/4

4/4

year

Jan.

Feb.

Mar.

1/4

Bank Accounts

3,052

16,741

22,895

11,129

53,817

1,376

10,042

9,524

20,942

Demand Deposits

- 2,705

4,093

2,689

2,108

6,185

- 405

2,148

88

1,831

Savings Deposits

5,757

12,648

20,206

9,021

47,632

1,781

7,894

9,436

19,111

Money- in- trusts

3,506

- 2,752

- 424

2,385

2,715

- 1,623

- 2,590

- 985

- 5,198

(Unit Trust)

- 385

- 200

370

790

575

140

- 18

- 104

18

Merchant Banks

820

- 476

543

- 612

275

575

174

571

1,320

(CMA)

80

58

- 12

72

198

11

29

57

97

(Issuance of Own Paper)

385

- 231

- 66

- 457

- 369

223

52

211

486

(CP Sales)

355

- 303

621

- 227

446

341

93

303

737

ITMCs

17,887

- 8,838

26,029

- 21,001

14,077

4,001

6,508

4,537

15,045

(Bond Type)

6,462

2,087

9,489

- 10,227

7,811

- 2,959

- 724

- 1,575

- 5,258

(MMF)

16,517

- 10,909

12,678

- 9,837

8,449

5,154

5,119

2,715

12,987

(Stock Type)

- 5,092

- 16

3,862

- 937

- 2,183

1,806

2,113

3,397

7,316

Securities firms 

Customer Deposits

1,587

106

469

1,338

3,500

2,005

- 791

1,231

2,445

Note:1)End of period. Changes from the previous period.

Sources: The Bank of Korea, Money and Banking Statistics (various issues), Trends of Daily Financial Market, Trends of Financial Market in March.


- 59 -

<Figure 17>    Short- term Deposit at Major Financial Institutions1)2)

Notes:1)Short- term deposits = Demand deposit + Instant access accounts + Short- term marketable deposits (CD+RP+Cover bills) + Short- term bond- type beneficiary securities + MMFs

2) Long- term deposits are the sum of deposits at Deposit money banks, Investment trust management companies, Trust accounts of banks, Merchant banking corporations, and Stock accounts, but exclude short- term deposits. 


<Table 17>                 Trends in Bank Loans1)

(Unit: billion won)

2000

2001

2002

1/4

2/4

3/4

4/4

year

Jan.

Feb.

Mar.

1/4

Bank Account

70,931

5,440

17,230

17,845

16,515

57,030

8,669

9,043

13,622

31,334

Trust Account2)

- 12,637

- 1,660

- 1,844

- 2,485

- 1,996

- 7,985

- 184

- 92

- 238

- 514

Total

58,294

3,780

15,386

15,360

14,519

49,045

8,485

8,952

13,384

30,821

(Large Firms)

5,249

2,104

- 2,389

- 431

- 2,682

- 3,398

2,481

320

650

3,451

(Small & Medium Firms)

56,201

1,171

6,139

6,725

2,415

16,450

2,337

2,628

4,303

9,268

(Households)

26,359

3,830

12,273

11,739

16,987

44,829

3,757

5,984

7,695

17,436

Notes: 1) End of period. Changes from the previous period.

2)Excluding CP discounts.

Source: The Bank of Korea, Trends of Financial Market in March.

- 60 -

The portion of short- term deposits to the total deposit- taking by financial institutions also increased to 38.6 percent in March 2002, from 32.6 percent in January 2001. Entering this year, the deposit- taking structure of financial institutions became shorter. The move for a shorter structure brought about apprehensions concerning long- term fund raising by the corporate sector since it may be aggravating, and it may incite large scale movements of short- term funds, which would cause disturbances in the financial market. 

In the first quarter, bank loans to the corporate sector, especially to small and medium sized enterprises, maintained a solid growth. In particular, bank loans to the household sector showed a sharp increase, boosted by low interest rates, the rising trend in mortgage loans and the aggressive marketing of consumer loans by banks. Concurrently, stock issuances by corporations and the net issuance of commercial paper (CP) increased, while corporate bonds continued its net redemption. However, the scale of net corporate bond redemptions recorded a sharp decline due to the contraction in the amount of matured bonds and alleviated corporate credit risk.


<Figure 18>       Outstanding Deposit Bank Loans by Type and

Ratio of Households to Total Loans


- 61 -

<Table 18>        Trends in Firms' Direct Financing1)

(Unit: 100 million won)

2001

2002

1/4

2/4

3/4

4/4

Jan.

Feb.

Mar.

1/4

Stock Issuance

4,016

8,924

10,146

22,817

3,244

1,227

2,184

6,655

CP Net Issued2)

69,502

1,890

33,569

- 23,996

43,900

14,897

- 12,623

46,174

Corp. Bond 

Net Issued3)

54,132

(17,511)

58,553 (21,010)

38,107

[24,044]

- 63,905

[- 70,675]

- 24,594

[- 21,587]

- 1,905

[716]

- 633

[- 633]

- 27,132

[- 22,936]

Total

127,650

69,367

81,822

- 65,084

22,550

14,219

- 11,072

25,697

Notes:1)End of period. Changes from the previous period. 

2) On the basis of CP discounts of securities companies and merchant banks.

3)Figures in parentheses exclude Primary CBO, Korea Development Bank's Prompt Bond Underwriting and debt restructuring related CBs. Figures in brackets exclude Primary CBO and Korea Development Bank's Prompt Bond Underwriting. 

Sources: The Bank of Korea, Trends of Financial Market in March. 

Financial Supervisory Service, Monthly Financial Statistics Bulletin, various issues. 


2) Forecast


In the second quarter of 2002, the BOK is expected to raise the target for the over night call rate as the economy enters a strong recovery phase, while the rapidly increasing household debts will not slow down anytime soon. 

The Korean economy, which had shown some signs of an economic recovery, will grow further faster, extending beyond the potential GDP level if exports and investments fully recover in the second half. Additionally, the high M3 growth rate, which exceeded the monitoring range ceiling in March, will continuously bring about concerns regarding excess liquidity especially with the current low interest rates. In order to maintain stable economic growth and the proper level of market liquidity, the BOK will probably raise the call rate and alleviate the increase in private credits in the second quarter.

A raise in the call rate by the BOK is further warranted when considering household debts and asset prices. After the government announced its anti- speculation policy measures on March 8, the rising trend in real estate prices was temporarily 

- 62 -

subdued. Given the fast growth of household debts, however, it is still possible that real estate prices will rise again in the near future. To clarify, the combination of an increase in household debts with low interest rates can result in a surge in real estate investments and asset prices. In turn, this will lead to an increase in mortgage values and accelerate the expansion of household debts. In order to slow down the increasing trend in household debts and to prevent the creation of bubbles in the real estate market, the monetary authority needs to raise the call rate and make households reduce their debts gradually. 

Taking all these criteria into account, the BOK will adjust its benchmark overnight call rate upward in the second quarter. Since exports and investments have not yet fully recovered, however, a sharp rise in the interest rate might trigger a severe contraction of domestic demand, a steep decline in asset prices and probably household insolvencies. Therefore, the adjustment of the target call rate seems to be confined to fine- tuning. In the second half, when the Korean economy is expected to show a full- fledged recovery, the BOK will tighten its monetary policy stance through additional call rate hikes. 

In the second quarter, the expansion of household loans will lead to the rapid increase in domestic credits. On the other hand, the inflow of market funds into the banking sectors will be restrictive because of low deposit interest rates, and the corporations' demand for bank loans will not increase sharply until equipment investments will be resumed on a full- scale. As a result, the M2 growth rate is forecast to record around 15.0 percent in the second quarter, slightly higher than the first quarter. The M3 growth rate is expected to be around 12.5 percent, reflecting the shift of funds to non- banking sectors caused by the appetite for short- term financial assets, centering on MMF, and bullish stock markets.



- 63 -

<Table 19>                Monetary Growth Rate1)

(Unit: %)

2001

2002

1/4

2/4

3/4

4/4

year

1/42)

2/4

3/4

4/4

year

M2 

21.5

15.4

12.9

13.7

15.9

14.5

15.0

15.5

15.5

15.1

M3 

8.2

8.2

10.3

11.5

9.6

12.0

12.5

11.5

11.5

11.9

Notes:1)Year- on- year growth rate of the average balance.

2)M2 is a preliminary value, and M3 is a forecast.

Sources: The Bank of Korea, Monthly Bulletin (various issues), Money and Banking

 Statistics, Trends of Financial Market in March.

- 64 -

Inflation Target & M3 Growth Rate Monitoring Range in 2002


In 2002, the BOK set the inflation target at 3.0±1 percent based on the annual rate of increase in the core Consumer Prices Index (CPI). The mid- term inflation target remains at 2.5 percent on an annual average basis in order to maintain the consistency and credibility of the monetary policy. As a result, the discrepancy between the inflation target for this year and the mid- term inflation target has not been resolved since last year. 

The monitoring range for the annual M3 growth rate for this year is set at 8~12 percent. The increased demand for money following the economic recovery will make the BOK adjust the monitoring range 2 percentage points higher than last year. Since the current financial institution- based monetary aggregates do not properly reflect market liquidity conditions, the BOK has announced new financial asset- based monetary indicators, the new M1 and the new M2, in March this year.

The new M1 includes the current M1 and all the instant access accounts of the banking and non- banking sectors. The new M2 is composed of the new M1, short- term marketable deposits, time and saving deposits, money in trust, beneficial certificates and debentures with less than 2 years. 


Inflation Target and CPI Inflation


- 65 -

Interest Rates


1) Review


Entering 2002, interest rates stabilized downward from a rapid increase during the fourth quarter of 2001. In January and February, long term rates fluctuated in a general downward trend while short term rates exhibited a clear downward trend. Corporate bond yields went down by 0.54 percentage point from 7.22 percent to 6.68 percent, and government bond rates decreased by 0.46 percentage point from 6.17 percent to 5.71 percent. The CP rate and CD rate declined by 0.5 percentage point and 0.43 percentage point, respectively.

During the first quarter, the Bank of Korea (BOK) did not clearly announce its position regarding the future course of the interest rate policy, keeping the target call rate fixed at 4.0 percent. Without any explicit indications of the future interest rate policy, long- term interest rates were determined by market expectations of this year's nominal economic growth. For example, in early January, corporate bond yields were a little bit higher than 7.0 of the percent economic growth. 

However, it was not yet evident if the Korean economy was really entering a solid phase of economic recovery: market participants were not sure if their


<Table 20>     Quarterly Movements of Major Interest Rates1)

(unit: %)

2000

2001

2002

3/4

4/4

1/4

2/4

3/4

4/4

Jan.

Feb.

Mar.

1/4

Call rates (1 day)

5.13

5.34

5.15

5.01

4.58

4.02

3.99

4.01

4.01

4.00

CDs (91 days)

7.09

6.97

5.93

5.78

4.97

4.58

4.79

4.54

4.63

4.65

Debentures (1 yr)

7.48

7.05

5.92

6.13

5.15

5.00

5.34

5.08

5.23

5.22

Corporate Bonds (3 yrs)

9.04

8.42

7.23

7.61

6.61

6.74

7.07

6.89

7.05

7.00

Treasury Bonds (3 yrs)

7.93

7.31

5.76

6.36

5.27

5.34

6.08

5.92

6.29

6.10

National Housing Bonds (5 yrs)

8.11

7.58

6.53

7.30

6.22

6.60

6.98

6.86

7.07

6.97

Note:1)Period averages.

Sources: The Bank of Korea, Korea Investors Service, INC., KIS- LINE.

- 66 -

expectations of a 7.0 percent nominal growth would be fulfilled. Therefore, long- term interest rates fluctuated whenever good or bad news about the economic outlook surfaced.

Learning that the exports growth rate was still negative and business investments in equipments were still sluggish, market participants revised downward their expectations of economic growth. 


<Figure 19>            Major Short- term Interest Rates


<Figure 20>             Major Long- term Interest Rates

- 67 -

Considering the reduction in the amount of matured corporate bonds and the alleviated corporate credit risk, the most important factors that determined interest rates in the first quarter were related to expectations of economic growth. The dishonored bills ratio sharply declined to 0.08 percent in February, and the number of firms with dishonored bills largely decreased. This contributed to the decrease in bond market risk and a reduction of the corporate bond yield spread by credit rating.


<Table 21>               Dishonored Bills Rates

(Unit: %, number)

2000

2001

2002

2/4 

3/4

4/4

1/4

2/4

3/4

4/4

1/42)

Dishonored

Bills      Ratio1)

Seoul


Nationwide  

0.16

(0.24)

0.17

(0.25)

0.28

(0.43)

0.28

(0.42)

0.37

(0.58)

0.37

(0.59)

0.34

(0.57)

0.33

(0.56)

0.24

(0.40)

0.23

(0.39)

0.20

(0.30)

0.20

(0.31)

0.17

(0.28)

0.17

(0.29)

0.07

(0.12)

0.08

(0.14)

Number of Firms with Dishonored Bills

by region

Seoul  

National

574

1,564

611

1,573

737

1,936

580

1,525

486

1,335

441

1,147

490

1,271

242

669

by size of firm

Large firms

SMEs

Individuals

2

881

681

8

894

671

21

1,133

782

2

890

633

2

800

533

4

720

423

2

801

468

1

443

225

Note:1)Dishonored value basis. Figures in parentheses indicate that the adjusted ratio does not reflect electronic- based payments.

2) Figures does not reflect March.

Source: The Bank of Korea, Ratio of Dishonored Bill in February.


<Table 22>  Corporate Bond Yield Spread by Credit Rating1)

(unit: %, Percentage point)

2001

2002

Mar.

Apr.

May

Jun.

Jul.

Aug.

Sep.

Oct.

Nov.

Dec.

Jan.

Feb.

Mar.

Standard (AA- )

7.69

8.05

7.37

7.10

6.55

6.16

5.95

6.59

6.99

7.04

6.97

6.68

7.07

BBB Average2)

3.24

3.18

2.92

2.92

2.94

2.97

3.00

2.94

2.94

2.98

2.98

3.01

2.90

BBB - 2)

4.76

4.69

4.28

4.11

4.13

4.17

4.19

4.11

4.11

4.16

4.15

4.19

4.03

Notes:1)End of Period. 

2) Spreads over benchmark high grade issues(AA- )

Source: The Korea Securities Dealers Association

- 68 -

On the other hand, since the fourth quarter of 2001, the monetary authority has concentrated on easing the money supply without conspicuous efforts to absorb liquidity by issuing monetary stabilization bonds. Especially, the rate of increase of reserve money has been kept relatively high since October 2001, and M3 has continued to rise since the second half of 2000. The M3/GDP ratio recorded 1.87 in 2001, resuming its traditional, sharply increasing trend; it has also continued to rise in 2002, reaching 12 percent y.o.y. in January. As a result, liquidity was quite abundant in early 2002. 

Furthermore, decreases by double digit figures in the commodity export growth rate, which continued in January and February of 2002, discouraged both business investments and the demand for money. All these developments contributed to the decline in short and long- term interest rates in the first two months of 2002.

The target budget deficit was smaller than that of last year, and the net 

issuance of government bonds was just 2.6 trillion won in the first quarter. However, with abundant liquidity and a bearish stock market, bank deposits sharply increased. Bank deposits increased by 1.4 trillion won in January, then by 12.9 trillion won in February. Most of the increase in bank deposits was concentrated on short- term deposits because depositors were unsure about the future prospects of deposit interest rates. In order to secure long- term funds, banks issued 8.2 trillion won in debentures in January and February.

Corporate bonds recorded a net redemption of 4.3 trillion won in January and of 1.0 trillion won in February due to the weakened demand for funds. Deposits in hybrid bond type funds and MMF also increased by more than 13 trillion won in the first quarter, reflecting the abundant amount of liquidity and changes in investors' sentiments that prefer risky assets. Because of this, ITMC increased bond purchases contributing to the decline in interest rates. 

With a sizable increase in short- term deposits and uncertainties concerning the future direction of long- term interest rates, financial institutions concentrated on purchasing bonds with maturities of one or two years. As a result, interest rates on money stabilization bonds and debentures declined more than the government bonds rate.

- 69 -

The Business Survey Index published on March 4, 2002, by the Federation of Korean Industries recorded an all- time high. On March 6, Hynix Semiconductors announced a surplus, and it accelerated its rising trend in stock prices. At the end of March, KOSPI recorded 902.5, which is 30 percent higher than at the end of 2001. At the same time, interest rates departed from their moderately declining trend and rose sharply in March. 

It seems that the BOK's issuance of long- term monetary stabilization bonds on March 5 triggered the subsequent upturn in interest rates. After industrial production was posted to have increased by 10.2 percent y.o.y. during January, the BOK started to control the liquidity in circulation. On March 5, the BOK unexpectedly sold monetary stabilization bonds with two year maturities at 5.87 percent, which was higher than the market rate at that time. Market participants took this as a signal of a turnaround in the monetary policy stance, and interest rates started to rise rapidly. 


<Figure 21>           KOSPI and Corporate Bond Yields


On March 7, 2002, the Monetary Policy Committee (MPC) fixed the target call rate at its previous level of 4 percent, mentioning that an upward revision would be 

- 70 -

considered only after exports growth substantially recovered. 

Entering 2002, rapidly rising apartment prices in the southern area of

Seoul and the speed of the increase in household lending drew serious public attention. Concerns were brought up over the possibility that the asset bubble might have already started to emerge. Market participants became convinced that it was the right time for the BOK to raise its target call rate as a natural policy response. 

The MPC's decision and its comments reassured market participants that a rise in the call rate was now a matter of time and provided them with a specific way to predict the BOK's future actions.

Concurrently, as problems with non- performing loans and macroeconomic risk were alleviated, the interest rate spread between grade AA-  bonds and below BBB grade bonds was reduced to 4.03 percentage points at the end of March. This is the same level as it was in January 2001. Looking at the turnover in corporate bond trade by credit ratings, however, it was hardly considered that the demand for corporate bond expanded to the credit rate which was less than BBB grade.


<Table 23> Non- guaranteed Corporate Bond Issuance by Credit Ratings1)

(unit: 100 million won, %)

2001

2002

Jun.

Jul.

Aug.

Sep.

Oct.

Nov.

Dec.

Jan.

Feb.

A Grade or Above

12,890

(40.7)

29,653

(65.3)

20,090

(63.3)

20,400

(77.9)

28,550

(87.7)

16,385

(60.0)

17,365

(22.9)

7,400

(57.7)

10,090

(47.9)

BBB Grade

6,093

(19.3)

15,350

(33.8)

11,250

(35.4)

5,174

(19.8)

4,000

(12.3)

5,750

(21.1)

9,238

(12.2)

4,400

(34.3)

9,328

(44.2)

Less than BBB Grade

12,639

(40.0)

400

(0.9)

400

(1.3)

600

(2.3)

-

5,166

(18.9)

49,126

(64.9)

1,030

(8.0)

866

(4.1)

Total

31,622

45,403

31,740

26,174

32,550

27,301

75,729

12,830

21,084

Notes:1)Credit rating is based on the time when corporate bonds were issued. Excludes ABS. 

2) Figures in parentheses are percentage weights. 

Sources: Financial Supervisory Service, The Statistics of Direct Financing in from January

to February.


- 71 -

The interest rate spread between lending and deposit rates at banks was reduced a little during the first quarter of 2002 as the lending rate declined by 0.13 percentage point since the end of 2001 while the deposit rate was actually fixed. As a result, the average of interest rate spread between lending and deposit rates in February decreased to 2.82 percentage point. Considering recent efforts to become


<Figure 22>   Spreads Between Lending and Deposit Rates at Banks


<Table 24>   Banks' Weighted Average Rates on Deposits and Loans1)2)

(unit: %)

2001

2002

Mar.

Apr.

May

Jun.

Jul.

Aug.

Sep.

Oct.

Nov.

Dec.

Jan.

Feb.

Rate on Loans

8.26

8.10

7.99

7.89

7.78

7.51

7.26

7.07

6.92

6.91

6.90

6.78

Loans to Households

8.84

8.70

8.54

8.57

8.39

8.00

7.55

7.35

7.17

7.26

7.18

6.98

Loans to Enterprises

8.02

7.85

7.74

7.61

7.55

7.29

7.12

6.93

6.78

6.75

6.75

6.65

Rate on Deposit

5.22

5.11

5.11

5.06

4.93

4.61

4.33

4.03

4.01

3.98

4.04

3.96

Spreads2)

3.04

2.99

2.88

2.83

2.85

2.90

2.93

3.04

2.91

2.93

2.86

2.82

Notes:1)Interest rates are weighted averages of Deposit Money Banks' new lending and deposits. 

2) Spreads between lending and deposit rates at Deposit Money Banks. 

Source: The Bank of Korea, Weighted Average Rates on Bank and Other Financial Institution's Loans and Deposits in February.

- 72 -

become competitive by expanding lending, and the possibility of a raise in short term interest rate in the near future, the reduction in the spread between lending and deposit rates is likely to be maintained for the time being.


2) Forecast


In the second quarter, as a full- fledged economic recovery becomes more evident, a rise in interest rates will be required in order to moderate the current lending boom and to keep the liquidity under the control.

In early March, the government implemented a package of policy measures, consisting mostly of tax- related policy tools, with the aims to contain the real estate market bubble. Although it is rather too early to evaluate the effectiveness of the policy package as of yet, the speed of the increase in real estate prices has slowed recently. Repressing the asset bubble from emerging, however, would not be successful without raising the interest rate in a timely manner.


<Figure 23>    CPI Inflation Rates and Underlying Inflation Rates


More than half of the lending to households has been used to finance real 

- 73 -

estate purchases; therefore, it is highly probable that a serious real estate price hike will come back at any time unless the household lending boom is controlled.

The current inflation is hardly a runaway inflation: the BOK will not find any reason to raise interest rates if it concentrates only on curbing inflation. However, the Japanese experience during the second half of the 1980s strongly suggests that an asset bubble can emerge and expand without being accompanied by runaway inflation, and that preventing the boom and bust cycle in an asset bubble is indispensible for stabilizing the inflation rate in the long- run.

It is useful to remember that the current target call rate was set right after the September 11 terrorist attacks on the U.S. as an emergency policy measure to prop up the economy. Considering that last year's annual real growth rate was 3 percent, and the current economy is headed for a solid economic recovery, it is evident that the goal of the emergency policy measure has been successfully achieved.

Therefore, as soon as the BOK finds a reasonable excuse, such as signs of recovery in exports, it will raise the target call rate immediately. Actually, since early March, the BOK indicated that the target call rate might be raised in the near future. Therefore, if the BOK does not raise it surprisingly high, market interest rates will not overshoot because expectations of an increase in the target call rate has already been internalized in recent market interest rates.


<Table 25>               Interest Rate Forecasts1)

(unit: %)

2001

20023)

1/4

2/4

3/4

4/4

year

1/42)

2/4

3/4

4/4

year

GDP Growth Rate

3.7

2.9

1.9

3.7

3.0

4.4

5.0

5.6

5.4

5.1

C  P  I

4.3

5.3

4.3

3.9

4.5

2.5

2.4

2.7

3.0

2.7

M2 Growth Rate

21.5

15.0

12.9

13.7

15.9

14.5

15.0

15.5

15.5

15.1

Corporate Bond Yields

7.23

7.61

6.61

6.74

7.05

7.0

7.3

7.4

7.7

7.4

Notes:1)Interest rates are period averages and others are percentage change from the previous year. 

2) CPI, M2 and Corporate bond yields are reported figures, and GDP growth rates are preliminary. 

3) Forecasts.

- 74 -

In the second quarter of this year, long- term interest rates will moderately rise. For example, corporate bond yields will be 7.3 percent, 0.2 percentage point higher than in the first quarter. The rise in interest rates will become more evident in the second half of 2002 when market participants become more reassured of a strong economic growth.

- 75 -

Financial Market Developments


Banking


The total volume of bank deposits, bank credits, and trust accounts increased by 5.7%, 7.3%, and 4.1%, respectively, in the first quarter of 2002. The rapid rise in household loans is the reason why the growth rate of bank credits is higher than bank deposits. Despite the decrease in money in trusts, the dramatic increase in property in trusts made the volume of total trust accounts go up. The low interest rate trend that had gradually decreased throughout 2001 for bank deposits, credits, and trust accounts continued this quarter; however, it has stabilized somewhat. 


<Figure 1>    The volume of bank deposits, credits, and trust accounts


<Figure 2>  The interest rates of bank deposits, credits, and trust accounts

- 76 -

Deposit Market


1) Review


The total volume of bank deposits held by depository banks at the first quarter of 2002 is estimated to have reached 525.7 trillion won, up 5.7% compared to last quarter. The following factors contributed to the increase in bank deposits. First, as the call rate was kept low by the Bank of Korea since last year, there has been ample liquidity in the money market. Around New Year's Day (lunar calender), especially, short- term deposits increased gradually because more liquidity was supplied through government expenditures and commercial loans. Second, flight- to- quality concerns appeared to have continued throughout the quarter. Money was still parked in bank deposits due to investor's preference for safety in spite of optimism for an economic recovery and stable conditions in the financial market. Third, a large amount of floating capital has flowed into short- term bank deposits seeking alternative investment opportunities. Fourth, money withdrawn for the repayment of corporate debts last quarter have returned into bank deposits. Fifth, banks intended to actively sell marketable financial deposits to control bank's liquidity. 

As shown in <Table 1>, deposits in won, consisting of demand deposits and time and savings deposits, rose 4.7 percent in the first quarter, totaling 463.7 trillion won. The amount of demand deposits increased with a similar growth rate compared to last quarter, but time and savings deposits showed a higher growth rate relative to last quarter. Demand deposits have steadily increased due to ample liquidity in the money market and the increase in floating capital.






- 77 -

<Table 1>                 Bank Deposits1)

(unit : billion won, %)

2001

2002

1/4

2/4

3/4

4/4

1/42)

2/43)

Deposits in Won

393,970

411,577

434,466

442,740

463,682

486,890

 (0.6)

(4.5)

(5.6)

(1.9)

(4.7)

(5.0)

Demand Deposit

27,637

32,576

35,323

36,937

38,768

40,730

 (- 10.5)

(17.9)

(8.4)

(4.6)

(5.0)

(5.1)

Time and Savings

366,333

379,001

399,143

405,803

424,914

446,160

(1.6)

(3.5)

(5.3)

(1.7)

(4.7)

(5.0)

Marketable Financial Products

39,271

43,821

46,136

39,236

47,298

49,954

(6.2)

(11.6)

(5.3)

(- 15.0)

(20.5)

(5.6)

CDs

9,125

9,852

11,454

11,543

15,173

17,498

(20.2)

(8.0)

(16.3)

(0.8)

(31.4)

(15.3)

Cover Bills

9,009

7,955

7,263

3,313

2,578

2,007

 (- 13.9)

(- 11.7)

(- 8.7)

(- 54.4)

(- 22.2)

(- 22.2)

RPs

21137

26,014

27,419

24,380

29,547

30,449

 (14.8)

(23.1)

(5.4)

(- 11.1)

(21.2)

(9.7)

Foreign

Currency

Deposits4)

13,293

17,378

14,012

15,455

14,681

15,180

(0.2)

(30.7)

(- 19.4)

(10.3)

(- 5.0)

(3.4)

Total 

446,534

472,776

494,614

497,431

525,661

552,024

(1.1)

(5.9)

(4.6)

(0.6)

(5.7)

(5.0)

Notes: 1) End- of- quarter basis. The figures in the parentheses represent

percentage changes from the previous quarter. 

2) Estimates.

3) Forecasts.

4) Excludes BOK trust funds. 

Sources: The Bank of Korea, Money & Banking Statistics (various issues) and Daily Trend of the Financial Market.


The volume of time and savings deposits rose by 4.7%, totaling 424.9 trillion won in the first quarter of 2002. The reason for this rapid increase is that the time deposit increased by 3.2% this quarter while it decreased by 1.0% last quarter. Time deposits with maturities less than 6 months, especially,  increased by 7 trillion won, though it decreased by 5 trillion won last quarter. There were two causes for the fluctuation. First, the money withdrawn for corporations' operational fund at the end of 2001 flowed back into bank accounts. Second, conservative investors did not 

- 78 -

move their funds from time and savings deposits to alternative investment opportunities because yields from the alternatives were not as high as they expected. Investors tended to prefer short- term products to long- term ones; evidenced by the slowdown in the increase of products with long maturities while products with short maturities, such as corporate savings, increased quickly. 


<Table 2>                Time and Savings Deposits1)

(unit : billion won, %)

2001

2002

1/4

2/4

3/4

4/4

1/42)

 Regular   Savings3)

67,457

70,476

76,425

78,313

80,097

(2.8)

(4.5)

(8.4)

(2.5)

(2.3)

Corporate Savings3)

34,062

38,276

41,530

46,074

48,884

(- 7.4)

(12.4)

(8.5)

(10.9)

(6.1)

Installment Savings4)

18,607

18,948

19,409

19,468

19,629

(5.4)

(1.8)

(2.4)

(0.3)

(0.8)

Time

207,979

209,651

217,165

215,014

221,957

(1.2)

(0.8)

(3.6)

(- 1.0)

(3.2)

Mutual Installment Savings

14,676

15,761

16,670

17,051

17,668

(6.3)

(7.4)

(5.8)

(2.3)

(3.6)

Other Savings5)

23,552

25,889

27,944

29,883

36,678

(10.8)

(9.9)

(7.9)

(6.9)

(4.5)

Total

366,333

379,001

399,143

405,803

424,914

(1.6)

(3.5)

(5.3)

(1.7)

(4.7)

Notes: 1) End- of- quarter basis. The figures in parentheses represent percentage changes from the previous quarter.

   2) Estimates.

 3) Includes MMDA.

   4) Includes household preferential installment savings deposits.

       5) Includes housing installment savings, workers' long term savings and workers' 

property formation deposits. 

Source: The Bank of Korea, Money & Statistics (various issues) and Daily Trend of the Financial Market.


The volume of marketable financial products substantially increased by 20.5%, totaling 47.3 trillion won. The notable growth in marketable financial products is the result of the followings. Enterprises have demanded CDs and RPs more than ever 

- 79 -

since their liquidity is easier to manage in operation. Furthermore, declining interest rates have made short- term funding more attractive to banks because it enables them to respond more quickly to changes in interest rates. The decline of deposits in cover bills was due to the creation of electronic methods, such as electronic buyer credit, electronic loans secured by account receivables and corporate credit cards for purchasing. 

The volume of foreign currency deposits fell by 5.0 percent in the first quarter, totaling 14.7 trillion won, which is illustrated in <Table 1>. Foreign currency deposits performed well due to low deposit interest rates and decreased volatility in the exchange rates. Moreover, the demand making for imported products increased at the beginning of this year, making foreign currency deposits decrease.


<Table 3>          Interest Rates on Selected Bank Deposits1)

(unit : %)

2001

2002

1/4

2/4

3/4

4/4

1/42)

Regular Savings3)

2.51

2.30

2.04

1.70

1.60

[MMDA]

3.78

3.73

3.63

3.28

3.12

Corporate Savings3)

4.05

3.77

3.31

2.95

1.90

[MMDA]

4.93

4.65

4.10

3.74

3.62

Time Deposits

(1~6 months)

5.63

5.55

4.72

4.32

4.00

Time Deposits

(1~2 years)

6.10

6.00

5.29

4.97

5.00

Installment Savings

(3~4 years)

7.15

6.90

6.19

5.59

5.01

Mutual Installment 

Savings (3~4 years)

7.03

6.80

5.89

5.37

5.38

Cover Bills(91~120days )

5.80

5.88

4.95

4.51

4.51

 CDs(91 days)

5.56

5.54

4.66

4.73

4.43

 RPs

5.63

5.53

4.83

4.59

4.42

Notes: 1) End- of- quarter basis. Weighted average interest rates.

   2) Estimates.

 3) Includes MMDA.

Sources: The Bank of Korea, Money & Statistics (various issues) and Daily Trend of the Financial Market.


- 80 -

The average deposit interest rate fell consecutively throughout the first quarter. One of the reasons for the fall was that the expansionary monetary policy has kept deposit interest rates low. Banks' policies to reduce unprofitable short- term deposit also made interest rates of marketable financial products low. Furthermore, banks tended to decrease deposit interest rates following a decline in loan rates to protect profitability. Decreasing loan interest rates to expand household loans made bank's profitability worse, so banks had to decrease deposit interest rates to keep the spread as before. Banks also did not have to increase deposit interest rates, because bank deposits increased despite low deposit interest rates. 


2) Forecast


The total volume of deposits held by banks is expected to grow by 5.0%, amounting to 552.2 trillion won in the second quarter of 2002. The slowdown in the growth rate of total bank deposits will be caused by the followings. First, the ample liquidity in the market first quarter will show up as an increase in bank deposits in the second quarter. Second, deposit interest rates are expected to increase due to the upward trend in market rates, so bank deposits, especially time and savings deposits, will increase. Third, the bullish stock market will not affect bank deposits significantly since most of the funds invested in the stock market are not from bank deposit accounts but from bank trust accounts. 

Deposits in won, composed of demand deposits and time and savings deposits, are expected to rise by 5.0%, reaching 486.9 trillion won. Demand deposits are expected to grow by 5.1%, as it did last quarter, totalling 40.7 trillion won. One reason for the increase in demand deposits is that ample supply of liquidity in the market will be sustained in the second quarter if the call rate does not rise substantially. Another contributable factor is the economic recovery focused on domestic consumption, which is likely to increase demand deposits. 

The volume of time and savings deposits will show a growth, recording a growth rate of 5.1% and reaching 446.2 trillion won in the second quarter of 2002. 

- 81 -

The growth will be the result of a slight rise in deposit interest rates. The flight- to- quality phenomenon will also continue in the second quarter so that time and savings deposits will still be preferred by conservative investors. Furthermore, because of the recent government policy to stabilize the price of real estate, the floating capital waiting to be invested in real- estate products will return into the time and saving deposits in the second quarter of 2002. 

The total volume of marketable financial products is expected to rise by 5.6%, reaching 50 trillion won in the second quarter of 2002. There are three reasons for the rise in marketable financial products. First, banks prefer financing loans with CDs rather than long- term time deposits because banks can easily respond to volatile short- term interest rates. Second, RPs will increase because the terms of contract can flexibly change. Third, as the volume of promissory notes declines with the diffusion of new electronic payment methods, the issue of cover bills is expected to decrease in the second quarter of 2002.

The volume of foreign currency deposits is expected to increase by 3.4%, reaching 15.2 trillion won due to the upturn in the supply of foreign currencies in the market as exports recover in the second quarter of 2002. 

The average interest rate on deposits is expected to marginally increase in the second quarter of 2002, because the Bank of Korea will probably marginally increase the call rate, depending on inflation pressure from the ongoing economic recovery and increasing exports. The demand for funds from business sectors will also increase with the economic recovery. The relative independence of deposit and market interest rates, however, cannot be ignored in the sense that the former went down while the latter went up in the first quarter. 


Loan Market


1) Review


In the first quarter of 2002, the total volume of depository bank credits reached 

- 82 -

421.5 trillion won, a 7.3% increase compared to the 2.6 % growth last quarter. Several factors contributed to the remarkable loan growth this quarter. First, because facility investment gradually grew in expectation of an economic recovery, the demand for capital was strong. Second, banks competitatively increased household loans this quarter. Third, loans to small- medium sized enterprises for tax payment purposes and other seasonal demands increased substantially this quarter. Fourth, operational capital financed by bank loans increased gradually in corporations, and direct financing shifted to indirect financing. The demand for corporate direct financing, such as IPO and issues of new shares to be purchased, has fallen off by 5% compared to last quarter, 68.5% compared to the previous year. 

Loans in won rose by 8.5% in the first quarter of 2002, totaling 387.8 trillion won while loans in won of banking funds increased to 366.8 trillion won, 9.0% growth, in the first quarter. Banks reduced the amount of loans to major companies while increasing the proportion of credits to medium and small sized companies and individuals. Mortgage loans were also expanded; in particular, enlarging housing- backed loans with low credit risk by lowering commission charges and loan to value (LTV). 

At the first quarter of 2002, the volume of general loans and overdrafts rose by 10.1% and 19.0% respectively, compared with last quarter's ending balance, and bills discounted decreased by 7.1%. Throughout the first quarter, the demand for bills discounted continuously declined, especially with the introduction of new lending instruments such as loans for purchasing, loans collaterized by account receivables and credit cards. An increase in overdrafts was also due to the expanded loan volume for healthy enterprises. The handsome growth in general loans should be attributed to banks' efforts to expand their retail and corporate banking businesses. General loans have steadily increased because general banks tended to enlarge the volume of loans for households and healthy enterprises. 




- 83 -

<Table 4>                    Bank Loans1)

(unit : billion won, %)

2001

2002

1/4

2/4

3/4

4/4

1/42)

2/43)

Loans in Won

314,170

327,693

344,439

357,383

387,762

405,410

(1.1)

(4.3)

(5.1)

(3.8)

(8.5)

(4.6)

  Banking Funds

292,867

306,806

323,792

336,617

366,770

384,187

(1.1)

(4.8)

(5.5)

(4.0)

(9.0)

(4.8)

Government Funds

21,303

20,887

20,648

20,766

20,992

21,223

(1.3)

(- 2.0)

(- 1.1)

(0.6)

(1.1)

(1.1)

Loans in Foreign Currencies

13,235

11,513

10,471

8,302

7,141

6,784

(- 13.2)

(- 13.0)

(- 9.1)

(- 20.7)

(- 14.0)

(- 5.0)

Total Loans

327,405

339,206

354,910

365,685

394,904

412,195

(0.4)

(3.6)

(4.6)

(3.0)

(8.0)

(4.4)

Guarantees and Acceptances

33,693

29,529

28,107

27,266

26,558

25,351

(0.0)

(- 12.4)

(- 4.8)

(- 3.0)

(- 2.6)

(- 4.5)

Total Credits

361,098

368,735

383,017

392,951

421,462

437,546

(0.4)

(2.1)

(3.9)

(2.6)

(7.3)

(3.8)

Notes: 1) End- of- quarter basis. The figures in parentheses represent percentage changes from the previous quarter

2) Estimates.

3) Forecasts.

Source: The Bank of Korea, Money & Banking Statistics (various issues). 


<Table 5>              Loans with Banking Funds1)

(unit : billion won, %)

2001

2002

1/4

2/4

3/4

4/4

1/42)

Bills Discounted

20,508

19,801

19,813

18,391

17,083

(- 21.4)

(- 3.5)

(0.1)

(- 7.2)

(- 7.1)

Overdrafts

6,381

5,435

4,625

3,641

4,333

(25.1)

(- 14.8)

(- 14.9)

(- 21.3)

(19.0)

General Loans

205,544

218,297

232,716

246,962

271,935

(2.8)

(6.2)

(6.6)

(6.1)

(10.1)

Others

60,434

63,273

66,638

67,623

73,419

(3.1)

(4.7)

(5.3)

(1.5)

(8.6)

Total

292,867

306,806

323,792

336,617

366,770

(1.1)

(4.8)

(5.5)

(4.0)

(9.0)

Notes: 1) End- of- quarter basis. The figures in parentheses represent percentage changes from the previous quarter.

   2) Estimates. 

Sources: The Bank of Korea, Monthly Bulletin (various issues).


- 84 -

Loans in foreign currencies showed a consecutive decline in the first quarter of 2002, down to 7.1 trillion won, a 14% decrease relative to the balance at the end of the last quarter in 2001. The demand for foreign currency loans declined with the decrease in imports of raw materials and capital goods. In addition, to enhance risk management and to meet BIS capital regulations, banks have been restructuring their foreign currency assets/liabilities position by reducing their assets in foreign currency.

As illustrated in <Table 6>, the average interest rates on loans slightly fell in the first quarter. The rate of general loans, overdrafts and discounts on trade bills also slightly decreased in the first quarter of 2002. The rate of discounts on commercial bills went up a little this quarter, but it is still lower than that of the third quarter of 2001; meaning it is following the general trend in falling interest rates. There are two reasons for the decline in loan interest rates. Primarily, with the Bank of Korea's low interest rate policy, fierce competition in the retail banking sector were major forces in lowering the interest rates on loans. Second, the demand for corporate loans, especially to healthy companies, was not high enough to increase the loan rate against ample liquidity in the loan market. 


<Table 6>           Interest Rates on Selected Bank Loans1)

(unit: % per annum)

2001

2002

1/4

2/4

3/4

4/4

1/42)

General Loans

8.50

8.11

7.45

7.04

6.90

Overdrafts

10.47

10.66

10.05

10.13

9.98

Discounts on Commercial Bills

7.31

7.05

6.77

6.35

6.54

Discounts on Trade Bills

8.25

7.95

7.15

7.69

6.41

Notes: 1) End- of- quarter basis. 

2)  Estimates. 

Sources: The Bank of Korea, Money & Banking Statistics, Monthly Bulletin and Trend of Interest Rates Offered by Banks and Non- Bank Financial Institutions (various issues).


- 85 -

2) Forecasts


The total volume of credit offered by deposit banks in the second quarter is expected to show a lower growth rate, 3.8%, compared to the first quarter, reaching 437.5 trillion won. Companies are expected to demand more operational capital and facility investments in the second quarter, reflecting expectations of an economic recovery. The demand for investments in the business sector will also increase due to low interest rates on loans, increased loans for small- sized businesses based on the credit rating system and government policy aimed at supporting small- medium sized companies. Furthermore, the total volume of credit will increase with a rise in consumption, growth in the IT industries, and expansion in construction. Consumer loans such as mortgage loans and household loans will go up continuously in the second quarter of 2002, and is expected to slow down, due to the strict policy against the rise of credit risk generated by the expansion of consumer loans. 

Loans in won are expected to rise by 4.6%, totaling 405.4 trillion won in the second quarter of 2002. Loans from bank funds will probably record a lower growth rate than that of the first quarter of 2002 due to the slow growth of household and mortgage loans. In the second quarter of 2002, the demand for loans will shift from retail to corporate loans through the BOK's guidance and government's policies preventing the excessive increase in household loans. Government funds will maintain the current growth rate even though the policy stance will change from expansionary to neutral. 

Loans in foreign currency will record an ending balance around 6.8 trillion won in the second quarter, a 5.0% fall relative to the end of first quarter. However, the growth rate will not be lower than that of last quarter. If the economy does recover, business will need to be financed by loans in foreign currency rather than the sale of assets to meet their demand for investments. The demand for imported products and equipments will also start to increase due to the stable exchange rate and the revaluation of the won. Moreover, the necessity to reduce open positions by banks may increase foreign currency loans as foreign currency deposits increase 

- 86 -

relative to the first quarter of 2002.

The average loan interest rates will not likely to change significantly in the second quarter of 2002 for two counter- actionary forces will work against each other. Factors that will contribute to the rise in interest rates on loans include: the securement of the interest rate spread between deposits and loans, the upward curve of market rates, the growing demand for corporate investments and slightly- strict monetary policies. However, there are factors working against the increase of loan rates. Because the monetary policy will not be that strict, there will still be ample liquidity in the financial market. Also, fierce competition between banks for providing loans will prevent banks from substantially increasing loan rates, though the demand for loans will increase. Furthermore, since banks recorded profitability in the first quarter of 2002, loan rates will be restricted by the continuous competition among banks to expand their sizes and market share. 


Bank Trust Market


1) Review


The total volume of deposits in nationwide banks' trust accounts increased with a slowdown in the growth rate by 4.1%, totaling 109.6 trillion won at the first quarter of 2002. The slowdown was based on the following factors. First, the growth rate of the balance of money in trusts dropped to 3.5%, compared to last quarter which recorded 6.7%. Second, the growth rate of the balance of property in trusts this quarter, 40.5% is much lower than 92.8 % last quarter. The balance of property in trusts increased because banks' accumulated knowledge about property consignment and demand for direct financing by issuing ABS bonds. Money in trusts declined because there were several banks that did not develop new financial products for trust accounts. A substantial amount of trust accounts also moved into investment trust companies' MMF accounts and bullish stock market, as a result. 


- 87 -

<Table 7>                 Bank Trust Accounts1)

(unit: 100 million won, %)

2001

2002

1/4

2/4

3/4

4/4

1/42)

2/43)

Money in Trust


811,616

785,057

785,367

813,315

758,564

724,429

(4.1)

(- 3.3)

(0.0)

(3.6)

(- 6.7)

(- 4.5)

Property in Trust


23,965

74,029

124,716

240,449

337,925

406,186

(23.0)

(208.9)

(68.5)

(92.8)

(40.5)

(20.2)

Total4)


835,581

859,086

910,083

1,053,764

1,096,489

1,130,615

(4.5)

(2.8)

(5.9)

(15.8)

(4.1)

(3.1)

Notes: 1) End- of- quarter basis. The figures in parentheses represent percentage changes from the previous quarter.

   2) Estimates. 

   3) Forecasts.

Sources: Individual Bank Data. 


The ending balance of money in trusts amounted to 75.9 trillion won in the first quarter, a 6.7% drop relative to the end of last quarter. Last year, the preference for safety and a low interest rate policy induced money to flow into bond- invested trust products, so banks' money in trusts recovered a little from the effects of the 1997 financial crisis. However, as the stock market became bullish and market rates began to move upward, money in trusts moved out of bond- invested trust products. As a result, the Old- Age Pension and Household Long- Term Trust balances remarkably reduced during first quarter because a substantial portion of these products invested in bonds with low yields. However, the New Unit Trust and New Additional Trust increased by over 100% since they had more stocks invested in bullish stock market. Trust products which invested in a mixture of financial asset with a higher portion in stocks and convertible trust products were sold during the first quarter. The Real Estate Trust, which allows investors an opportunity to invest in real estate, is anticipated to show a rising balance owing to a boom in the real estate market.

A portfolio composition of trusts, as shown in Table 9, reveals that the proportion of loans funded by Bank Trusts decreased whereas that of investments in Securities increased. 

- 88 -

<Table 8>             Money in Trust Accounts1)

(unit : 100 million won, %)

2001

2002

1/4

2/4

3/4

4/4

1/42)

Development

3,060

1,535

1,058

600

530

Non- Specific

89

85

85

83

82

Installment(Settlement)

173

178

178

182

180

Personal Pension

64,525

67,727

68,494

71,782

72,737

Old- Age Pension

10,357

10,284

9,994

9,952

9,411

A Lump Sum Retirement

10,559

11,474

13,606

21,757

21,205

New Personal Pension

459

625

784

987

1,090

New Old- Age Pension

68,473

76,524

84,619

94,500

63,622

Pension Trust

298

503

718

1,258

1,581

Household

17,447

15,389

14,171

13,223

12,361

Corporate

4,998

4,313

3,787

3,535

3,164

Installment(Performance)

53,433

46,138

41,116

37,171

33,031

National Stock Trust

610

398

353

347

339

Specific

170,151

186,436

194,078

224,742

240,558

Household Long- Term Trust

126,613

127,272

122,111

101,853

88,147

Tax- Exempt Workers' Trust

29,500

28,349

26,584

26,125

25,090

New Installment

140,183

126,464

116,537

106,755

94,431

New Tax- Exempt Workers' Trust

34

58

84

120

168

Unit Trust

13,714

8,432

6,720

7,250

4,387

Short- Term Unit Trust

570

101

100

0

0

Separate Taxation

7,755

11,565

13,161

19,991

22,159

Tax- Exempt, High- Return, High- Risk(Unit)

0

0

4,094

4,790

4,926

New Unit Trust

0

0

0

138

1,089

Additional Trust

26,113

17,386

21,480

23,640

19,199

Short- Term Additional Trust

60,335

40,296

38,224

33,054

17,424

Tax- Exempt, High- Return, High- Risk(Additional)

0

0

294

303

302

Long- Term Securities

0

0

0

919

1,446

New Additional Trust

0

0

0

1,566

12,229

Real Estate Investment Trust

2,148

3,506

2,919

6,669

7,653

A Will Trust

19

19

18

23

23

Total 

811,616

785,057

785,367

813,315

758,564

(4.1)

(- 3.3)

(0.0)

(3.6)

(- 6.7)

Notes: 1) End- of- quarter basis. The figures in parentheses represent percentage changes from the previous quarter.

   2) Estimates.

Sources: Individual Bank Data.



- 89 -

<Table 9>   Loans Funded by Bank Trusts and Investment in Securities1)

(unit : 100 million won, %)

2001

2002

1/4

2/4

3/4

4/4

1/42)

Loans Funded by Bank Trusts

118,250

100,108

74,961

54,087

49,081

(- 14.7)

(- 15.3)

(- 25.1)

(- 27.9)

(- 9.3)

 Investment in Securities3)4)

750,728

727,544

731,835

726,393

694,820

(7.4)

(- 3.1)

(0.6)

(- 0.7)

(- 4.4)

Notes: 1) End- of- quarter basis. The figures in parentheses represent percentage changes from the previous quarter. 

2) Estimates.

3) Total amount of investment in securities less amount of securities in investment trusts.        

Sources: Individual Bank Data. 


2) Forecast


In the second quarter of 2002, bank trust accounts are expected to reach 113.6 trillion won, recording a 3.1% growth rate and reflecting the declining trend in money in trusts. If economic conditions became better in the second quarter, money in money in trust accounts will move into the stock market and investment trust companies' MMF accounts. However, the rate of fall will not be high because the balance of mixture and convertible trust products will increase, additional trust products will rise on sale, and new trust products that match customers' needs will be developed. Moreover, property in trusts, which has been increasing dramatically until the end of 2001, will increase with a lower growth rate due to the reduced issuance of ABS through consignment in property in trusts and very low reward commission charges to banks. 

- 90 -

Non- bank Financial Institutions



Overview


During the first quarter of 2002, deposits at non- bank financial institutions (NBFIs) increased by 5.8 percent from the previous quarter. Most NBFIs showed an increase in deposits, including merchant banking corporations (MBCs). Deposits at investment and trust management companies (ITCs) also sharply increased as the balance of equity type funds and hybrid type funds increased with the bullish stock market during the first quarter. Deposits at MBCs have increased mainly due to a rapid increase in the sales of bills, which attracted short- term liquidity in the market and funds which flowed out at the end of 2001. Regional non- bank financial institutions, such as mutual savings banks(MSBs) and credit unions (CUs), have experienced a positive growth in total deposits after the regulation authority made substantial efforts to stabilize NBFI businesses. Postal savings (PSs) and Mutual credits (MCs) showed positive deposit growth rates due to their fairly competitive interest rates and safety.

In the first quarter of 2002, credits at NBFIs increased by 2.9 percent from the previous quarter. This was mainly due to the fact that credits at MCs, CUs and community credit cooperatives (CCCs) increased continuously while MBCs and MSBs maintained their aggressive marketing strategies in anticipation of a business recovery. ITCs increased their investments in short- term financial products like Monetary Stabilization Bonds and bonds issued by financial institutions. MBCs took an active stance in their lending with an increase in deposits, and MSBs intensified their credit business by establishing more branches. As a result, MSBs' total credits have increased by 5.6 percent.

In the second quarter, deposits at NBFIs are expected to increase by 4.9 percent from the previous quarter. By virtue of a domestic business recovery, floating funds in the market will move into the NBFIs sector. The total balance of

- 91 -

<Table 10>           Deposits and Credits at NBFIs1)

(Unit: billion won, percent)

2000

2001

20025)

1/4

2/4

3/4

4/44)

1/4

2/4

(Deposits)2)

Merchant Banking

Corporations

Investment and

Trust Companies

Mutual Savings Banks

Mutual Credits


Credit Unions


Community Credit

Cooperatives

Postal Savings



10,226

<- 51.5>

142,419

<- 24.4>

18,803

<- 16.9>

84,081

<11.0>

14,859

<- 10.1>

30,616

<6.0>

23,790

<46.8>


11,046

(8.0)

159,315

(11.9)

20,284

(7.9)

84,730

(0.8)

15,621

(5.1)

31,244

(2.1)

25,183

(5.9)


7,734

(- 30.0)

151,929

(- 4.6)

18,576

(- 8.4)

85,121

(0.5)

15,931

(2.0)

31,531

(0.9)

27,223

(8.1)


8,250

(6.7)  175,800

(15.7)

19,375

(4.3)

89,287

(4.9)

16,557

(2.0)

32,887

(4.3)

28,880

(6.1)


7,639

(- 7.4)

154,226

(- 12.3)

19,561

(1.0)

90,692

(1.6)

16,948

(2.4)

33,633

(2.3)

29,368

(1.7)


8,608

(12.7)

169,604

(9.9)

19,933

(1.9)

92,415

(1.9)

17,338

(2.3)

34,507

(2.6)

30,131

(2.6)


9,161

(6.4)

183,018

(7.9)

20,391

(2.3)

94,356

(2.1)

17,806

(2.7)

35,542

(3.0)

30,824

(2.3)

TOTAL

324,794

<- 12.1>

347,423

(7.0)

338,045

(- 2.7)

371,036

(9.7)

352,067

(- 5.1)

372,536

(5.8)

391,098

(4.9)

(Credits)3)

Merchant Banking

Corporations

Mutual Savings Banks

Mutual Credits


Credit Unions


Community Credit

Cooperatives


5,116

<- 51.8>

15,701

<- 15.8>

52,514

<10.6>

10,275

<0.9>

14,820

<- 0.6>


5,170

(1.1)

15,173

(- 3.4)

52,749

(0.4)

10,225

(- 0.5)

14,778

(- 0.3)


3,921

(- 24.2)

14,153

(- 6.7)

53,141

(0.7)

10,501

(2.7)

14,850

(0.5)


3,935

(0.3)

14,909

(5.3)

55,601

(4.6)

10,644

(2.5)

16,071

(8.2)


3,725

(- 5.3)

15,414

(3.3)

55,560

(- 0.1)

10,626

(- 0.2)

16,446

(2.3)


4,127

(10.8)

16,285

(5.6)

56,616

(1.9)

10,785

(1.5)

16,923

(2.9)


4,519

(9.5)

17,298

(6.2)

57,682

(1.9)

10,979

(1.8)

17,481

(3.3)

TOTAL

98,426

<- 3.4>

98,095

(- 0.3)

96,566

(- 1.6)

101,160

(4.7)

101,771

(0.6)

104,736

(2.9)

107,959

(3.1)

Notes:1)End of period. The figures in parentheses are percentage changes from the previous quarter, and the figures in brackets are percentage changes from the previous year.

2)Deposits at non- bank financial institutions = Merchant Banking Corporations (issuance of their own paper + CMAs + sales of bills) + Investment and Trust Companies (beneficiary certificates + equity savings) + Mutual Savings Banks (deposits) + Mutual Credits (deposits) + Postal Savings (deposits + RP).

3)Credits at non- bank financial institutions = Merchant Banking Corporations (paper discounted) + Mutual Savings Banks (loans + paper discounted) + Mutual Credits (loans) + Credit Unions (loans) + Community Credit Cooperatives (loans).

4) Estimates.

5) KIF Forecasts.

Sources:The Bank of Korea, Association of Merchant Banking Corporations, Korea Federation of Mutual Savings Banks, Association of Credit Unions, and Korea Credit Rating Agency.

- 92 -

ITCs is expected to increase steadily with the increasing demand for equity and hybrid funds with a strong expectation of bullish stock market Deposits at MBCs are expected to decrease as the sales of bills will increase due to relative high yields. Deposits at MSBs, PSs and MCs will also probably increase steadily owing to consumers' preference for high interest rates. 

Total credits at NBFIs are expected to show a 3.1 percent increase in the second quarter. Expecting a bullish stock market in the second quarter, ITCs will increase their holdings of stocks. MBCs will implement a more aggressive strategy with business recovery in the second quarter. And, MSBs are expected to expand their credit by developing the various loan products under a credit business strategy focused on the personal loan program. 



Investment and Trust Management Companies


In the first quarter of 2002, the total balance of ITCs increased by 9.9 percent from the previous quarter. The balance of money market funds (MMF)  sharply increased by 63.8 percent due to the increase in short- term funds with  expectations of a business recovery. The balance of equity type funds and hybrid type funds also increased with the bullish stock market during the first quarter. At the same time, deposits at bond type funds, especially long- term bond funds, decreased by 17.6 percent for fear of rising market interest rates.

During the first quarter, ITCs expanded their investments in bonds and stocks due to the increased deposits at ITCs. In particular, ITCs increased their investments in short- term financial products, like Monetary Stabilization Bonds, and bonds issued by financial institutions. Moreover, investments in stocks increased very rapidly as the stock market recovered.

The total balance of ITCs is expected to increase by 7.9 percent in the second quarter of 2002. Since market interest rates are expected to rise with the domestic business recovery, deposits at bond type funds are to decrease. Deposits at equity 

- 93 -

and hybrid funds will increase rapidly in anticipation of a bullish stock market in the second quarter. If market interest rates do not rise sharply, MMF's balance will increase steadily, absorbing most of short- term liquidity in the market.

With the possibility of a bullish stock market in the second quarter, ITCs will increase their holdings of stocks. ITCs' investments in corporate bonds will probably increase as the market risk diminishes with a strong business recovery in the second quarter.



<Table 11>                  Deposits at ITCs1)

(Unit: billion won, percent)

2000

2001

20023)

1/4

2/4

3/4

4/4

1/4

2/4

Equity Type


Hybrid Type


Equity


Bond


Bond Type


Long term


Short term


MMF


Trust Type


4,062

<- 92.7>

46,316

<- >  

20,862

<- >

25,454

<- >

56,120

<- 47.2>

39,500

<- 39.8>

16,620

<- 59.1>

26,700

<23.5>

9,221

<90.0>

4,508

(11.0)

40,774

(- 12.0)

18,723

(- 10.3)

22,051

(- 13.4)

62,584

(11.5)

43,115

(9.2)

19,469

(17.1)

43,325

(62.3)

8,158

(- 11.5)

4,863

(7.9)

40,415

(- 0.9)

17,501

(- 6.5)

22,905

(3.9)

64,596

(3.2)

43,472

(0.8)

21,214

(9.0)

34,297

(- 20.8)

7,759

(- 4.9)

5,421

(11.5)

43,706

(8.1)

18,019

(2.9)

25,687

(12.1)

74,128

(14.8)

45,092

(3.7)

29,036

(36.9)

45,094

(31.5)

7,451

(- 3.9)

6,623

(22.2)

41,565

(- 4.9)

15,720

(- 12.8)

25,845

(0.6)

63,902

(- 13.8)

38,445

(- 14.7)

25,457

(- 12.3)

35,257

(- 21.8)

6,879

(- 7.7)

8,225

(24.2)

46,984

(13.0)

15,248

(- 3.0)

31,736

(22.8)

58,866

(- 7.9)

31,670

(- 17.6)

27,196

(6.8)

48,226

(36.8)

7,303

(6.2)

10,664

(29.6)

49,172

(4.6)

16,071

(5.4)

33,101

(4.3)

55,585

(- 5.6)

25,969

(- 18.0)

29,616

(8.9)

59,746

(23.9)

7,851

(7.5)

Total

142,419

<- 24.4>

159,349

(11.9)

151,930

(- 4.7)

175,800

(15.7)

154,226

(- 12.3)

169,604

(9.9)

183,018

(7.9)

Notes:1) End of period. The figures in brackets are percentage changes from the previous year, and the figures in parentheses are percentage changes from the previous quarter.

2) Estimates.

3) Forecasts.

Source:Korea Credit Rating Agency.


- 94 -

<Figure 3>                  Deposits at ITCs


Merchant Banking Corporations


During the first quarter of 2002, the total volume of deposits at MBCs increased by 12.7 percent from the previous quarter. This growth is mainly due to the rapid increase in the sales of bills, which attracted short- term liquidity in the market, funds which flowed out at the end of 2001. As deposit interest rates remained low at banks, Deposits at Cash Management Accounts (CMA) increased due to their competitive interest rates.

Total credits at MBCs in the first quarter increased by 10.8 percent from the 

previous quarter. MBCs took an active stance in their lending with an increase in deposits. After the turbulence caused by restructuring last year, the increase in the amount of credit in the first quarter stabilized MBC's business.

In the second quarter, total deposits at MBCs will increase by 6.4 percent. Due to interest rate fluctuations, depositors will manage their funds with the short- term in mind. Sales of bills are also expected to increase due to relative high yields.

- 95 -

Total credits at MBCs may rise by 9.5 percentage in the second quarter. With the growth of deposits, MBCs will actively discount CPs. 

In March 2002, the CEOs of three MBCs, Woori, Hanbul, and Kumho gathered to discuss the future of the Korea Merchant Bank Association, which represents the merchant bank industry. The MBCs decided not to close the association; rather, they will try to manage it, even though only three MBCs remain after the 1997 currency crisis. Current discussions regarding the korea Merchant Bank Association is an indication that the merchant banking industry considers itself less and less as an independent financial sector.



<Table 12>        Deposits and Credits at MBCs1)

(Unit: billion won, percent)

2000

2001

20023)

1/4

2/4

3/4

4/4

1/4

2/4

Total Deposits


Sales of Bills


Issuance of Own

Paper

CMAs


10,226

<- 51.5>

901

<- 68.9>

8,344

<- 41.4>

981

<- 75.0>

11,046

(8.0)

1,256

(39.4)

8,729

(4.6)

1,061

(8.2)

7,734

(- 30.0)

722

(- 42.5)

6,117

(- 28.6)

896

(- 15.6)

8,250

(6.7)

1,385

(91.8)

5,985

(- 2.2)

880

(- 1.8)

7,639

(- 7.4)

1,159

(- 16.3)

5,528

(- 7.6)

952

(8.2)

8,608

(12.7)

1,806

(55.8)

5,735

(3.7)

1,067

(12.1)

9,161

(6.4)

1,996

(10.5)

5,993

(4.5)

1,172

(9.8)

Total Credits


Commercial Paper

Discounts

5,116


<- 51.8>


5,170


(1.1)


3,921


(- 24.1)


3,935


(0.3)


3,725


(- 5.3)


4,127


(10.8)


4,519


(9.5)


Notes:1)End of period.  The figures in parentheses are percentage changes from the previous quarter, and the figures in brackets are percentage changes from the previous year.

2) Estimates.

3) KIF forecasts.

Source:Korea Credit Rating Agency.




- 96 -

Mutual Savings Banks


In the first quarter of 2002, total deposits at mutual savings banks (MSBs) increased by 1.9 percent from the previous quarter. As MSBs increased their paid- in capital and improved their asset quality by reducing their non- performing loans, deposits at MSBs have continued to increase since the third quarter of 2001. Increased market confidence after using ‘bank’ in their name also contributed to the deposit growth. Moreover, enlarged branch network was another reason for the deposit growth.

During the first quarter, total credits at MSBs increased by 5.6 percent from the previous quarter. Small loans to individuals and new loan products, such as internet loans, extremely short- term loans and loans to individual with a low credit rating, increased credits at MSBs.

Total deposits at MSBs are expected to increase by 2.3 percent in the second quarter. The reasons for the growth in deposits at MSBs are as follows. First, market confidence for MSBs will increase after they include󰡐bank󰡑in their name 


<Figure 4>              Deposits and Credits at MBCs


- 97 -

and increase asset quality by reducing non- performing loans. Second, deposit interest rates at MSBs will be higher than those of banks. Third, MSBs will be able to open new branches more easily after the government changes the regulations on business expansion.

In the second quarter, total credits at MSBs are expected to increase by 6.2 percent. The government's support of MSBs' business will help increase credits at MSBs. MSBs are also expected to increase small loans to individuals; thereby, improving upon MSBs' stronger points against to banks and other creditors.

With the reclassification of mutual savings and finance companies (MSFCs) as mutual savings banks (MSBs) on March 1, 2002, the Financial supervisory Commission (FSC) and the Financial Supervisory Service (FSS) announced a set of new measures aimed at strengthening the supervision of MSBs. First, the minimum capital requirement for MSBs was raised to 200% of the current level, and all MSBs will be required to meet the new capital requirement within 5 years after 


<Table 13>                Deposits at MSBs1)

(Unit: billion won, percent)

2000

2001

20023)

1/4

2/4

3/4

4/42)

1/4

2/4

Installment Savings


Demand Deposits


Time Deposits


Other Deposits


503

<- 26.4>

603

<- 16.4> 

15,901

<- 15.7>

1,796

<- 24.5>

468

(- 7.0)

547

(- 9.3)

17,641

(11.0)

1,628

(- 9.4)

415

(- 11.3)

454

(- 17.0)

16,281

(- 7.7)

1,426

(- 12.4)

425

(2.4)

445

(- 2.0)

17,029

(4.6)

1,476

(3.5)

423

(- 0.5)

471

(5.8)

17,459

(2.5)

1,208

(- 18.2)

430

(1.8)

493

(4.7)

17,965

(2.9)

1,045

(- 13.5)

439

(2.1)

518

(5.1)

18,540

(3.2)

894

(- 14.4)

Total

18,803

<- 16.2>

20,284

(7.9)

18,576

(- 8.4)

19,375

(4.3)

19,561

(1.0)

19,933

(1.9)

20,391

(2.3)

Notes: 1)End of Period. The figures in parentheses are percentage changes from the previous quarter, and figures in brackets are percentages from the previous year.

 2) Estimates.

 3) KIF Forecasts.

Source:  Korea Federation of Mutual Savings Banks.

- 98 -

becoming a mutual savings bank. As such, MSBs that currently do not meet the new minimum capital requirement will be encouraged to raise their capital level by at least 20% of the capital deficiency per year. The new measures proposed by the FSC and FSS will hopefully reestablish MSBs' position as financially sound lenders that provide banking services to low and middle income customers. 



Financial Institutions that Specialized in Lending


Since March 11, 2002, the Korea Non- bank Financing Association has begun to enforce registration requirements for credit card agents. This measure was the solution to the credit card over- issuance problem originating from the severe competition between credit card companies and the indiscrete soliciting of new credit card members. The enforcement of registration requirements is expected to establish sound management practices and protect credit card users from credit card companies by eliminating unfair issuances of credit cards and people with low credit.


<Table 14>                 Credits at MSBs1)

(Unit: billion won, percent)

2000

2001

20023)

1/4

2/4

3/4

4/42)

1/4

2/4

Loans


Paper Discounts


Other Credits


128

<- 25.1> 

4,043

<- 16.4> 

11,437

<- 16.3>

121

(- 5.5)

4,169

(3.1)

10,883

(- 5.6)

106

(- 12.4)

4,482

(7.5)

9,565

(- 12.1)

112

(5.7)

4,530

(1.1)

10,267

(7.3)

118

(5.4)

4,378

(- 3.4)

10,918

(6.3)

124

(5.1)

4,435

(1.3)

11,726

(7.4)

131

(5.6)

4,515

(1.8)

12,652

(7.9)

Total

15,701

<- 16.2>

15,173

(- 3.4)

14,153

(- 6.7)

14,909

(5.3)

15,414

(3.3)

16,285

(5.6)

17,298

(6.2)

Notes:1)End of period.  The figures in parentheses are percentage changes from the previous quarter, and the figures in brackets are percentage changes from the year.

 2) Estimates.

 3) KIF Forecasts.

Source:  Korea Federation of Mutual Savings Banks.

- 99 -

In March 2002, the Financial Supervisory Service (FSS) announced reform measures that limit credit card companies' non- core businesses by restricting customer loans from exceeding 50% of the company's total business. Companies will be given a 2- year grace period to minimize the impact of the reform on credit companies' operations and cardholders. This measure was created and implemented to resolve the social problems caused by providing people with low credit more loans. The government's direct intervention in the credit card companies' customer loans ratio may invade credit card companies' right to autonomy and consumers' free choice. 

On March 26, 2002, FSS announced the inspection results and punishment measures for all 25 credit card companies. FSS has enforced inspections of illegal deeds committed by 8 specialized credit card companies and 17 banks from February 27 to March 15, 2002. FSS punished credit card companies and banks for their involvement in illegal practices. The enforcement of strict punishment for illegal activities by credit card companies will help eradicate future corruption in the credit card business and establish safety for credit card use.


<Figure 5>            Deposits and Credits at MSBs


- 100 -

Money and Capital Markets


Stock Market


1) Review


In the first quarter of 2002, the stock market moved upward due to prospects for a recovery in the domestic and foreign economies, recording an average 791.80 points in the KOSPI, 194.64 points up from the fourth quarter of 2001. Until early February, the KOSPI fluctuated because of inactive exports and slight improvements in the economic indicators at home and abroad. Since mid- February, however, the KOSPI showed a solid rise despite inactive exports because domestic and overseas economic indicators improved rapidly.


<Figure 6>                KOSPI and Trading Value



- 101 -

From the beginning of 2002 until February 8, the stock market faced a couple of slumps. The KOSPI, which started at 724.95 points on January 2, fell to 708.47 points on January 18 because of the poor progress in domestic corporate restructuring, such as the break in negotiations for the government and AIG consortium's joint investment in Hyundai Investment Securities, and the fruitless sale of Hynix Semiconductor to Micron Technology. The KOSPI soared to 780.24 points on January 28, and then dropped to 739.66 points on February 8. The sag was generated by a slowdown in the industrial activities in December 2001, the Medison bankruptcy, and the downturn in the U.S. stock market caused by the Enron scandal.

There were also good news in the market such as the rapid rise in the Philadelphia Semiconductor Index, the probable sale of Hynix Semiconductor to Micron Technology during the New Year's holiday(lunar calendar) and the subsequent rally of the KOSPI on February 14, which was 56.52 points up from February 8. Thereafter, the KOSPI showed a solid upward trend, peaking at its highest record this quarter, 902.46. During this period, great improvements in the economic indicators at home and abroad signaled an economic recovery. Korea made progress with the plans for selling Daewoo Motor, Hynix Semiconductor and Hanbo Steel to foreign companies, and the Standard & Poor's raised Korea's sovereign credit rating to A3 from Baa2.

In the secondary market, customer deposits increased and money flowed rapidly into investment trust companies'(ITCs) stock funds because of an upward trend in stock prices and market interest rates. Customer deposits recorded 12,061 billion won, 2,503 billion won up from last quarter, and ITCs' stock funds recorded 8,977billion won, 2,059 billion won up from last quarter. In particular, money 

- 102 -

flowed quickly into the stock market at the end of February when the KOSPI was

- 103 -

<Table 15>         KOSPI and Trading Volume1)

(billion won, thousand shares, %) 

2000

2001

2002

year

1/4

2/4

3/4

4/4

1/4

KOSPI

(Average)

734.22

<- 9.0>

573.56

(5.93)

578.71

(0.89)

542.94

(- 6.18)

597.16

(9.99)

791.80

(32.59)

KOSPI

(end of period)

504.62

<- 50.9>

523.22

(3.69)

595.13

(13.74)

479.68

(- 19.4)

693.70

(44.62)

895.58

(29.10)

Trading Value

(daily average)   

306,163

<9.9>

414,415

(29.83)

425,060

(2.57)

438,592

(3.18)

617,952

(40.89)

678,4282)

(9.79)

Trading Volume

(daily average)

2,602.2

<- 25.3>

2,112.5

(20.97)

1,907.3

(- 9.71)

1,481.2

(- 22.34)

2,512.0

(69.59)

3,812.92)

(51.79)

Note: 1) The figures in parentheses are percentage changes from the previous quarter. The figures in brackets are percentage changes from the previous year.

2)  End of February

Source : Korea Stock Exchange, 『Stock』


over 800 because of improvements in economic indicators at home and abroad. Thus, the amount of customer deposits and ITCs' stock funds, which increased in March, covered 51% and 79% of the total increase, respectively.

In the first quarter of 2002, while foreign investors exhibited a net selling of 1,384 billion won, individual and institutional investors showed a net purchasing of 31 billion won and 1,353 billion won, respectively. Foreign investors mainly sold their stocks in Samsung Electronics, a net selling that was 1.1 times more than their total net selling. They bought a number of stocks from Samsung Electronics last quarter when MDram chip prices rose and sold them this quarter to take a margin profit since they expected MDram chip prices to fall next quarter. On the other hand, the net purchasing by institutional investors was triggered by ITCs, which aggressively bought stocks with stock funds which had increased since February.

Despite a bullish stock market, the amount of initial public offerings and rights offerings of listed companies in the first quarter of 2002 decreased from last quarter, recording 1,947 billion won. Corporations did not issue more stocks for they

- 104 -

<Table 16>                     Fund Inflows

(billion won)

2000

2001

2002

1/4

2/4

3/4

4/4

Jan

Feb

Mar

CustomerDeposits1)

6,057.6

7,639.3

7,732.9

8,220.5

9,557.9

11,563.3

10,772.5

12,060.5

Stock Fund

4,062

4,508

4,863

5,604

6,917.7

6,812.7

7,350.2

8,976.5

Note : 1)End of period

Source : Korea Stock Exchange, 『Stock』



<Table 17>  Investors' Stock Trading (Accumulated Net Purchases) 

(billion won)

2000

2001

2002

1/4

2/4

3/4

4/4

Jan

Feb

Mar

1/4

Securities cos.

- 954.6

- 215.6

- 339.5

- 146.9

- 276.2

2.1

296.9

- 164.3

134.7

Insurance cos.

- 970.2

- 140.7

- 253.8

- 364.1

- 267.7

18.5

6.8

- 221.4

- 196.1

ITCs

- 6,053.8

- 477.5

203.6

282.2

- 1,213.4

- 354.3

638.8

1,198.8

1,483.3

Banks

136.3

- 365.8

- 337.3

358

355.1

382.9

35.8

13.5

432.2

Other Institutions1)

- 7,448.2

- 1,021.9

- 715.1

587.7

- 2,301.2

- 342.2

945.3

749.4

1,352.5

Individuals

- 2,584.2

- 2,047.3

- 1,344.8

- 39.9

- 1,064.2

214.0

- 616.5

433.7

31.2

Foreigners

8,374.3

3,069.7

1,520.5

- 547.8

3,365.5

128.2

- 328.8

- 1,183.1

- 1,383.7

Note : 1) Sum of securities companies, insurance companies, ITCs, and banks.

Source : Korea Stock Exchange, 『Stock』


already improved their financial conditions through restructuring and did not increase equipment investments. Moreover, the number of stock- issuing corporations decreased due to the withdrawal of insolvent corporations from the market.



- 105 -

<Table 18>           Stock Offerings and Credit Loans

(billion won)

2000

2001

2002

1/4

2/4

3/4

4/4

1/4

Initial Public Offerings

125.0

0

0

40.2

177.6

16.5

Rights Offering of Listed Companies

4,651.7

728.2

93.2

356.6

1,784.8

1,930.1

Total

4,776.7

728.2

93.2

396.8

1,962.4

1,946.6

Accounts Receivable1)

392.0

416.6

436.5

331.1

532.6

1,228.9

Margin Account Balance1)

131.0

151.3

175.6

121.0

211.9

340.5

Note : 1) End of period. 

Source : Korea Stock Exchange, 『Stock』

Financial Supervisory Service, 『Monthly Financial Statistics Bulletin』


2) Forecast


The stock market in the first quarter of 2002 showed an upward trend thanks to an economic recovery driven by domestic demand, including consumption and construction investments. Domestic demand will also increase in the second quarter of 2002 due to the rise in employment, rising real estate prices, and consumption caused by the World Cup. 

The Ministry of Commerce, Industry and Energy announced that exports in March 2002 decreased 5.2% year on year, the smallest fall since March 2001. In the second quarter of 2002, a global economic recovery will lead to an increase in exports and the subsequent rise of equipment investments despite possible setbacks, such as an inactive semiconductor industry, trade conflicts, and the weak yen. In the second quarter of 2002, a global economic recovery will be accelerated by a "faster- than- expected" U.S. economic recovery, which is shown to be plausible in recent economic indicators. The Institute of Supply Management's Manufacturing and Non- Manufacturing Index has been over 50 since February 2002, and industrial productions have increased during the last two months. In addition, the Conference Board's Consumer Confidence Index has exceeded 100 since January 2002. 

- 106 -

Therefore, the stock market in the second quarter of 2002 will rise more compared to that of the first quarter of 2002 owing to the domestic economic recovery due to an increase in exports and equipment investments. 

The stock market's supply and demand situation the second quarter of 2002 is likely to be ameliorated compared to the first quarter of 2002.

In the second quarter of 2002, funds are expected to flow more quickly into customer deposits and ITCs' stock funds than the first quarter of 2002 in the secondary market because of the rise in market interest rates and the government's plans for stabilizing the estate market. Correspondingly, individual investors and institutional investors, including ITCs, will continue to show net purchasing in the second quarter of 2002. Moreover, foreign investors' selling Samsung Electronicsis is likely to end soon, given that the semiconductor industry will recover in the half of 2002.

In the primary market, despite the bullish stock market, corporations are unlikely to issue too much stocks in the second quarter of 2002 since they have already improved financial conditions by restructuring. Further, the Korea Stock Exchange seems to delist a number of unqualified companies.


<Table 19>            Debt Ratio of Listed Companies1)

(%)

1998

1999

2000

2001

Debt Ratio

279.7

150.7

150.5

125.9

Note : 1) Closing accounts at the end of December

Source : Korea Stock Exchange, 『Stock』


Considering the factors above, the stock market in the second quarter of 2002 is likely to be stronger than the first quarter of 2002, recording an average KOSPI of 900~1000 points.

- 107 -

Bond Market


1) Review 


In the first quarter of 2002, the bond market was relatively stable and, in average, showed a small increase in bond yields. During the quarter, bond yields fluctuated within a narrow band as the upward pressure from the growing expectations for an economic recovery was offset by the monetary authority's polices to keep the interest rates low. In the latter part of the quarter, however, bond yields rebounded mainly due to concerns over inflationary pressure caused by the rising real estate price and the potential hike of import prices from the depreciation of the Korean won.

At the beginning of the quarter, bond yields started to inch up mainly because there was optimism for an early economic recovery. According to the Bank of Korea (BOK), domestic real economic indicators in the first quarter such as the Business Survey Index (BSI) and Consumer Survey Index (CSI) improved compared 

<Figure 7>                  Bond Yields

- 108 -

to the previous quarter. In addition, investor sentiments shrank when stock prices jumped from the beginning of this quarter, placing upward pressure on bond yields. From the middle of January to the end of February, however, this upward trend was quickly reversed, and bond yields recorded a gradual decrease mainly due to the ample liquidity in the markets. Bond yields continued to inch down during this period as expectations for an economic recovery already seemed to have been substantially reflected in the market. In addition, the U.S. Federal Reserve's announcement that an early economic recovery in the U.S. was uncertain also had positive effects on the fall of domestic bond yields. Accordingly, the three- year corporate bond (AA- ) yields quickly fell to 6.68 percent, the lowest point of the first quarter, by the end of February. 

In March, however, forecasts on the general price level and potential economic recovery reversed the trend in bond yields again. From the end of February to the middle of March, bond yields rebounded mainly due to expectations for a revival in 

<Table 20>                     Bond Yields1)

(unit: %)

1999

2000

2001

2002

1/4

2/4

3/4

4/4

1/4

Corporate2)

8.86

9.34

7.04

(11.37)

7.23

(11.79)

7.61

(12.09)

6.61

(10.75)

6.74

(10.87)

7.01

(11.15)

Treasury3)

7.70

8.35

5.68

5.75

6.36

5.26

5.35

6.11

Monetary

Stabilization4)

7.43

7.80

5.45

5.80

6.03

5.08

4.89

5.16

National Housing5)

8.72

8.50

6.66

6.52

7.30

6.22

6.61

6.98

Notes: 1) Average yields.

2) The 3- year corporate bond yields with a credit rating of AA- .

Figures in parentheses are the 3- year corporate bond yields with a credit rating of BBB- .

3) 3- year maturity.

4) 1- year maturity.

5) 5- year maturity (type 1).

Source: Korea Investors Service, Inc., KIS- LINE.

- 109 -

the domestic economy, which was indicated by a slowdown in the decline of exports in March and the upward revision of the GDP growth rate for the first quarter of 2002. Moreover, concerns over high inflation, caused by a rise in international oil prices, and possible changes in the Bank of Korea's monetary policy, had worked positively, bringing up bond yields. This upward pressure and rising trend, however, was soon relieved when the government reconfirmed its intention to maintain a low interest rate policy. Towards the end of the quarter, there were some fluctuations within a very narrow range in bond yields. In sum, the quarterly average of three- year corporate bond yields with a credit rating of AA-  in the first quarter was 7.01 percent, which is slightly higher than that of the previous quarter. The average of the three- year corporate bond yields with a credit ratings of BBB-  was 11.15 percent.

Some significant features of the bond market with respect to demand and supply in the first quarter were as follows. On the demand side, there was a significant increase in capital inflow into banks' deposits and investment trust companies (ITCs). Accordingly, institutional investors' purchasing power was enhanced significantly during the quarter. In spite of declining bank deposit rates, there was a large inflow of capital into banks, their total deposits increasing by 28 

<Table 21>                     Bond Transactions1)

(unit: billion won)

2000

2001

2002

1/4

2/4

3/4

4/4

1/4

ITC trading

26,867

13,815

1,207

1,750

9,567

1,291

2,646

OTC trading

1,847,059

2,756,005

738,137

621,148

765,224

629,892

545,367

Total trading

1,873,926

2,769,820

739,344

622,898

774,791

631,183

548,013

<6.78>

<47.81>

(26.63)

(- 15.75)

(24.38)

(- 18.54)

(- 13.18)

Note: 1) Trading Volume, ( ) & < > as of the rate of variation of the previous period.

Sources: Korea Stock Exchange, Stock.

Korea Securities Computer Corp., CHECK Machine: Bond Trading(code:3837).

- 110 -

trillion won. The inflow of capital into ITCs was mainly concentrated in money market funds (MMF), and their total deposits increased by 19 trillion won. As a result, in the first quarter, banks and ITCs recorded 17 trillion won and 16 trillion won, respectively in net purchases of bonds. 

Another significant feature on the demand side was that there was an improvement in the demand for corporate bonds with lower credit ratings. Throughout the quarter, the low interest rate worked as one of the major factors for the increase in institutional investors' demand for corporate bonds with credit ratings of BBB- . The decrease in concern over companies' credit risk, mainly due to prospects for an economic recovery, also had a positive effect on the demand for corporate bonds with lower credit ratings.

On the supply side, the new issuance of bonds was carried out smoothly without any significant problems during the first quarter. In the case of corporate bonds, including asset- backed securities (ABS) such as P- CBO, CLO and others, the new issuance amounted to 17.3 trillion won, which is an apparent drop compared to the previous quarter. Despite expectations for an economic recovery, companies did not require much funding for new capital. This is mainly due to the fact that there has 

<Table 22>                  Bond Issuances 

(unit: billion won)

2000

2001

1/4

2/4

3/4

4/4

1/4

Corporate Bonds

(ABS)

New issues

Net increase1)

58,663

(40,993)

13,988

87,195

(39,619)

13,988

17,093

(8,956)

2,134

19,269

(9,700)

5,855

21,634

(8,192)

2,565

29,199

(12,771)

3,434

17,316

(4,309)

- 1,604

Treasury Bonds

New issues

Net increase1)

15,162

8,306

21,830

9,715

3,820

1,580

4,200

1,955

5,480

1,754

8,330

4,426

6,000

2,500

Monetary Stabilization Bonds

New issues

Net increase1)

98,470

14,887

76,401

11,052

29,847

8,312

15,770

- 3,461

20,194

6,102

10,590

99

21,115

3,349

Notes: 1) Net increase = the value of newly issued bonds -  the value of retired bonds.

Source: Financial Supervisory Service, Monthly Financial Statistics Bulletin.

Ministry of Finance and Economy, Financial Statistics Bulletin.

- 111 -

been a significant improvement in the internal cash reserves of companies, a bi- product of their continuous efforts to lower debt ratio during the past few years. The overall level of new corporate bond issuances was estimated to be slightly below the amount to be retired, recording a net decrease of 1.6 trillion won in the quarter. As for treasury bonds, the total amount issued was 6 trillion won and the amount redeemed was 3.5 trillion won, recording a net increase of 2.5 trillion won. The government maintained its flexible stance in issuing government bonds in accordance with market conditions throughout the quarter. The new issuance of monetary stabilization bonds during the quarter increased significantly compared to the previous quarter, recording a total of 21.1 trillion won and a net increase of 3.3 trillion won. This was mainly due to the fact that the BOK deflated the money supply by issuing monetary stabilization bonds during the quarter.


2) Forecast


For the second quarter, the general level of bond yields is expected to be somewhat higher than that of this quarter. The bond market may show relatively unstable movements mainly due to inflationary pressure. Moreover, the market 

<Table 23>                 Bond Market Forecasts

(units: billion won, %)

2000

2001

2002

1/4

2/4

3/4

4/4

1/4

2/43)

New issues

Corporate2)

58,663

87,195

17,093

19,269

21,634

29,199

17,316

18,000

Treasury2)

15,162

21,830

3,820

4,100

5,480

8,330

6,000

7,000

Yields1)

Corporate2)

9.34

7.04

7.23

7.61

6.61

6.74

7.01

7.40

Treasury2)

8.35

5.68

5.75

6.36

5.26

5.35

6.11

6.50

Notes: 1) Average yields.

2) 3- year maturity.

3) KIF forecasts.

Source: Korea Investors Service, Inc., KIS- LINE.


consensus that the BOK will raise the call rate next quarter also puts upward 

- 112 -

pressure on bond yields. On the other hand, the potential decrease in the supply of new corporate bonds next quarter and the ample supply of liquidity in markets may limit this upward pressure. In sum, the average corporate bond (AA- ) yields next quarter is expected to be around 7.4 percent, which is slightly higher than that of first quarter. 

On the demand side, the inflow of capital into banks and ITCs is expected to continue during the second quarter. In the case of banks, considering expectations for a rise in bank deposit rates, the volume of money in bank deposits will continue to grow in the next quarter. In the case of ITCs, the inflow of capital into ITCs' short- term funds, such as MMF, is expected to further rise in the second quarter. Consequently, institutional investors' purchasing power in the bond market will enhance significantly. The demand for corporate bonds is expected to rise in the next quarter, and both banks and ITCs will be net purchasers of bonds.

On the supply side, the new issuance of corporate bonds will be slightly below the amount retiring, recording a net decrease in the second quarter. The total volume of scheduled, corporate bond retirements in the next quarter amounts to about 8.4 trillion won, a significant drop from 11 trillion won of the previous quarter. Accordingly, amount of conversion issuances of corporate bonds in the second quarter, volume- wise, may be carried out smoothly without any problems, though many firms are expected to issue corporate bonds in advance in order to hold substantial capital for new investments in the second quarter. Consequently, the amount of new corporate bond issuances, including ABS, in the next quarter is estimated to reach 18 trillion won. Treasury bonds are expected to record a net increase in the second quarter. However, the government will flexibly adjust new issuances of treasury bonds by monitoring market conditions.

For monetary stabilization bonds, there will be a large amount of conversion issuances in the next quarter. The volume of scheduled, monetary stabilization bond retirements in the second quarter amounts to about 17.4 trillion won. Accordingly, the amount of conversion issuances of monetary stabilization bonds may place a burden on the bond market. In addition, the new issuance of monetary stabilization 

- 113 -

bonds during the next quarter is expected to record a slight net increase compared to the previous quarter. The increase in net issuance is mainly due to the fact that the BOK will decrease the money supply by issuing monetary stabilization bonds in an effort to stabilize the financial market against an inflow of foreign capital caused by the increase in exports. However, the general issuance of monetary stabilization bonds may be carried out smoothly without any serious problems.


Interest Rate Futures Market


In the first quarter of 2002, the trading of Korea Treasury Bond (KTB) futures was somewhat limited, recording a slight decrease compared to the previous quarter. This is mainly due to the fact that the spot KTB yield showed relatively stable movements in the first quarter. In the CD futures market, the trading of CD futures was very active compared to the previous quarter, though the total trade volume was still very low. The trade activity in CD futures reflects the fact that investors speculated an upward readjustment of Korea's call rate during the quarter. However, the overall trade of CD futures was very limited considering the very narrow range of fluctuations in the CD spot market. This was mainly due to the BOK's efforts to keep short- term interest rates low. 

In general, movements in the KTB futures market can be divided into two phases. During the first phase, from the beginning of the quarter to the end of February, there was an overall rise in the price of KTB futures. This period was marked by the gradual decrease in spot KTB yields which had placed upward pressure on the price of KTB futures. As a result, the price of KTB futures, which recorded 102.64 points at the beginning of the quarter, went up to 105.37 points, the highest point in the first quarter on February 28, 2002. 


- 114 -

<Figure 8>            KTB Futures Transactions



<Table 24>               Interest Rate Futures Index1)

(unit: points)

2000

2001

2002

3 Month

6 Month

9 Month

12 Month

Year4)

3 Month5)

CDs

Cash2)

92.90

93.92

94.20

94.88

94.63

94.41

94.97

Future3)

92.54

-

-

-

-

-

-

Treasury

Bonds

Cash2)

98.72

105.29

103.37

106.57

106.64

105.47

105.63

Future3)

98.26

105.07

102.57

106.07

105.94

104.91

104.81

Notes: 1) Average yields.

2) Closing rate equivalent notified by the KSDA.

3) Nearby month futures index.

4) From December 20, 2000(the exchanged day to a near- by of 3 Months) to December 20, 2001(12th Months' last trading day).

5) From December 21, 2001(the exchanged day to a near- by of 3 Months) to March 19, 2002(3rd Months' last trading day).

Source: Korea Futures Exchange, KOFEX Monthly.



- 115 -

<Table 25>          Interest Rate Futures Transactions1)

(units: contracts, 100 million won)

2000

2001

2002

1/4

2/4

3/4

4/4

Year

1/4

CD

Futures

Trading

Volume

2,801

(15)

0

0

402

1,008

1,410

1,700

(0)

(0)

(6.4)

(16.5)

(5.7)

(28.8)

Open Interest

0

0

0

21

777

803

1,060

KTB

Futures

Trading

Volume

1,611,273

(6,209)

1,357,859

1,652,137

2,265,222

4,048,212

9,323,430

3,605,505

(22,631)

(26,647)

(35,956)

(66,364)

(37,900)

(61,110)

Open Interest

7,795

13,362

24,985

37,556

50,115

31,601

60,140

Customers' Deposits2)

1,229,110

1,525,266

1,579,630

2,103,859

2,688,001

2,688,001

3,079,434

Notes: 1) Figures in parentheses and those of Open Interest are the average of the period.

2) Customers' Deposits as of the end of the period.

Source: Korea Futures Exchange, KOFEX Monthly


The second phase covers the period from the beginning of March to the end of the quarter. During this period, the price of KTB futures showed a downward trend mainly due to concerns over inflationary pressure. Consequently, the price of KTB futures fell down to 103.96 points by the end of the first quarter, and the quarterly average was 103.34 points, slightly lower than that of the previous quarter. 

As for next quarter's forecast, the general environment of the interest rate futures market will be similar to that of the first quarter. KTB futures trading will be somewhat limited considering the general upward pressure on the spot KTB yield. In the case of CD futures, a steady growth in trading volume is expected in the next quarter. The growth is mainly due to the possible upward readjustment of the call rate during the second quarter. However, considering the limited movement of short- term interest rates in the CD spot market, the overall trade of CD futures may be very small.

Since a slight increase in the KTB spot rate is expected next quarter, the price of KTB futures in general will show a downward trend. The inflationary pressure and an upward readjustment of short- term rates will become weakening factors for the price of KTB futures. Contrarily, the government's flexible stance in the


- 116 -

<Table 26>          Interest Rate Futures Market Forecasts1)

   (unit: points)

2001

2002

3 Month

6 Month

9 Month

12 Month

Year

3 Month

6 Month4)

CDs

Cash2)

93.92

94.20

94.88

94.63

94.41

94.97

94.50

Future3)

-

-

-

-

-

-

-

Treasury

Bonds

Cash2)

105.29

103.37

106.57

106.64

105.47

105.63

104.00

Future3)

105.07

102.57

106.07

105.94

104.91

104.81

103.20

Notes: 1) Average yields.

2) Closing rate equivalent notified by the KSDA.

3) Nearby month futures index.

4) KIF forecast.

Source: Korea Futures Exchange, KOFEX Monthly



government bonds market will somewhat limit this downward pressure. In sum, the price of KTB futures will show some fluctuations in a range somewhat lower than that of the first quarter, reflecting the general downward trend in the market. 


Stock Index Futures Market


1) Review


The stock index futures market in the first quarter of 2002 behaved similar to the spot market during the same period. Until early February, the price of the KOSPI200 futures fluctuated because of inactive exports and a slight improvement in domestic and overseas economic indicators. However, it showed a solid rise beginning mid- February for a rapid improvement in economic indicators at home and abroad signaled an economic recovery. As a result, the price of the KOSPI200 futures recorded 98.92 on average, up 25.38 points from last quarter.




- 117 -

<Figure 9>          KOSPI200 and Futures Contract Prices



In the first quarter of 2002, the trading volume in the futures market decreased from last quarter because investors assumed a "wait- and- see" attitude, fearing that the rise in the spot market might soon fizzle. The total and daily average trading volume recorded 8,675,156 contracts and 145,141 contracts, respectively. In contrast, the total and daily average trading value increased due to the rise in price of the KOSPI200 futures, recording 422,661 billion won and 7,153 billion won respectively.

Since more contracts than ever before were rolled over December of last year(2001), open interest increased by 16,448 contracts compared to last quarter. The ratio of stock index futures to cash for the daily average trading value(futures trading value/spot trading value) was well balanced in the first quarter of 2002 thanks to the active trading in the bullish spot market. Since the second quarter of 2001, this ratio had been over 2 due to inactive trading in the bearish spot market.



- 118 -

<Table 27>      Key Statistics for KOSPI200 Futures

(thousand contracts, billion won)

2000

2001

2002

1/4

2/4

3/4

4/4

1/4

 Total Trading Volume 

19,667

6,203

6,949

7,892

9,886

8,675

  Daily Average Trading Volume

81

113

112

126

162

145

  Total Trading Value

859,715.7

224,428.6

250,406.8

261,175.5

373,589.6

422,660.9

  Daily Average Trading Value

3,559.8

4,080.5

4,038.8

4,150.5

6,146.5

7,153.2

Open Interest1)

30

44

49

47

42

59

Note: 1) End of period.

Source: Korea Stock Exchange, 『Stock』.



<Table 28>       Futures Contract Trading by Investor1)

(thousand contracts, %)

2000

2001

2001

1/4

2/4

3/4

4/4

1/44)

Securities Cos.

12,505

(32.1)

3,775

(30.39)

4,599

(32.99)

5,220

(33.07)

6,720

(34.01)

3,642

(33.97)

Insurance Cos.

83

(0.21)

77

(0.62)

54

(0.39)

97

(0.62)

77

(0.39)

64

(0.55)

ITCs

2,506

(6.43)

539

(4.33)

572

(4.10)

703

(4.45)

887

(4.49)

600

(5.17)

Banks

1,012

(2.6)

140

(1.13)

96

(0.68)

116

(0.74)

151

(0.76)

75

(0.64)

Other Finance Cos2)

142

(0.37)

28

(0.23)

27

(0.19)

42

(0.26)

82

(0.41)

81

(0.70)

Others3)

889

(2.28)

245

(1.97)

419

(3.00)

412

(2.61)

457

(2.31)

504

(4.34)

Individuals

19,940

(51.17)

6,802

(54.77)

6,969

(49.99)

7,810

(49.48)

9,555

(48.32)

5,844

(50.36)

Foreigners

1,888

(4.85)

814

(6.55)

1,203

(8.63)

1,384

(8.77)

1,844

(9.33)

794

(6.85)

Total

38,965

(100.00)

12,419

(100.00)

13,939

(100.00)

15,784

(100.00)

19,772

(100.00)

11,604

(100.00)

Notes: 1) The figures in parentheses are the percentage ratio from the total amounts.

2) Including merchant banks and mutual savings and finance companies.

3) Including Pension Funds.

4) End of February.

Source: Korea Stock Exchange,『Stock』.

- 119 -

<Table 29>Ratio of Stock Index Futures to Cash for Daily Trading Value

(billion won, times)

2000

2001

2002

1/4

2/4

3/4

4/4

1/4

Futures(A)

3,559.8

4,080.5

3,911.8

4,150.5

6,146.5

7,153.2

Cash(B)

2,602.2

2,392.2

1,907.3

1,481.2

2,512.0

3,812.9

A/B

1.37

1.70

2.51

2.8

2.4

1.9

Source: Korea Stock Exchange,『Stock』.



2) Forecast


In the second quarter of 2002, the rate of economic recovery domestically will accelerate due to improvement in exports and equipment investment. The domestic economic recovery will also raise the spot price. As a result, the price of the stock index futures in the second quarter of 2002 is likely to rise compared to the first quarter of 2002, fluctuating between 110 and 120 points.


- 120 -

Insurance


Life Insurance


At the end of the first quarter in 2002, the total assets of the life insurance industry reached 145,688 billion won, a 5.6 percent increase from the previous quarter. This growth was mainly the result of not only an increase in sales of whole life insurance but also an increase in investment income caused by a bullish stock market during the first quarter. 


<Table 30>   Key Indicators of the Life Insurance Industry1)

(unit: billion won, %)

2001

2002

1/4

2/4

3/4

4/4

1/42)

Total Assets3)


120,730

(0.2)

123,662

(2.4)

129,455

(4.7)

137,962

(6.6)

145,688

(5.6)

New Contracts


Policy in Force3)


83,937

(- 25.7)

821,807

(- 5.0)

92,069

(9.7)

877,898

(6.8)

99,457

(8.0)

973,368

(10.9)

90,197

(- 9.3)

988,830

(1.6)

96,962

(7.5)

1,022,450

(3.4)

Premium Income


9,783

(- 26.6)

11,209

(14.6)

11,111

(- 0.9)

13,873

(24.9)

14,525

(4.7)

Claims


Expenses


7,242

(- 40.6)

791

(830.6)

9,570

(32.1)

1,193

(50.8)

8,603

(- 10.0)

1,057

(- 11.4)

9,527

(10.7)

966

(- 8.6)

9,822

(3.1)

948

(- 1.9)

Loans

Securities

Cash & Deposits

Real Estates

Others

31.8

40.0

3.1

7.9

17.2

30.5

40.2

3.8

7.7

17.3

29.8

41.7

2.7

7.5

18.3

28.5

42.6

3.2

6.8

18.9

29.0

43.4

3.0

7.0

17.6

Notes: 1)Figures in parentheses represent percentage changes from the previous quarter.

2) KIF estimates.

3) End of period. 

Sources: Financial Supervisory Service, Korea Life Insurance Association, KIF.

- 121 -

The premium income during the first quarter recorded 14,525 billion won, a 4.7 percent increase from the previous quarter. The rise in premium income is mainly the result of an increase in sales of individual whole life insurance as well as group life insurance. At the same time, the claims paid during the first quarter reached 9,822 billion won, a 3.1 percent increase form the previous quarter, because of a rise in the number of policy cancellations after the delay in the life insurance industry reforms.

As for asset management, life insurers maintained conservative investment strategies focusing on the safety of investments during the first quarter. The ratio of loans to total assets reached 29.0%, a 0.5 percent increase from the previous quarter. This slight increase stemmed from the fact that life insurers' efforts to increase their market share in the mortgage and individual credit loan markets, faced severe competition from other financial institutions such as banks. The ratio of securities to total assets reached 43.4 percent, a 0.8 percent increase from the previous quarter, because life insurers extended their portion of investments in stocks thanks to the bullish stock market during the first quarter. 


<Figure 10>   Financial Performance of the Life Insurance Industry 



- 122 -

According to the Financial Supervisory Service (FSS), the insurance industry's managerial efficiency has continuously improved since the IMF bailouts in 1997. The improvements are mainly the results of the changes in business strategies focusing on profits, not on market share expansion. In particular, domestic life insurers trimmed out inefficient solicitors and agencies, while vitalizing new distribution channels such as tele- marketing and cyber- marketing.

On January 25, 2002, the FSS authorized the rider for policy conversion which allows a 10 to 15 percent premium discount when the policyholder converts his/her existing protection- oriented life insurance to another new protection- oriented life insurance. This rider is mainly designed for mitigating negative margins caused by the low interest rate environment. In the meantime, the FSS decided not to allow the policy conversion of savings- oriented life insurance in order to prevent life insurers from unfairly manipulating the system.


<Table 31>   Managerial Efficiency of the Life Insurance Industry

(unit: %)

2001

2002

1/4

2/4

3/4

4/4

1/41)

New Business Ratio2)

Lapse and Surrender Ratio3)

Ratio of Claims to Premium4)

Ratio of Expense to Premium5)

Investment Income to Total Assets6)

42.4

16.0

80.1

8.1

7.9

11.1

4.6

89.0

10.6

8.9

23.1

8.4

76.7

9.5

8.5

32.3

12.7

68.7

7.0

7.8

45.0

16.3

66.4

6.9

8.3

Notes: 1) KIF estimates.

2) [New contracts/Policies- in- force] at the beginning of the period.

3)[Lapses and Surrenders/New contracts and Policies- in- force] at the beginning of the period.

4) [Claims paid/Premium income].

5) [Management expenses/Premium income].

6)[2×Investment income/(Beginning balance of assets + Ending balance of assets -  Investment income)]×4/m, where m = number of quarters.

Sources: Financial Supervisory Service, Korea Life Insurance Association, KIF.


During the first quarter, the FSS launched a project to set up the so called "Insurance Policy Information Inquiry System," which is scheduled to operate during the 

- 123 -

second half of this year. This project is mainly designed to protect policyholder from the loss caused by either unintentional policy lapses or unidentified policy proceeds.

According to the Korea Insurance Development Institute (KIDI), Agricultural Cooperatives and Postal Insurance recorded a premium growth that was 3 times higher than that of regular life and non- life insurance. Despite this fact, they are exempted from prudential regulations, such as the solvency margin system, CAMEL, etc., which may cause financial problems later.

The premium income of life insurers during the second quarter is expected to reach 15,731 billion won, a 8.3 percent rise from the previous quarter. This growth is mainly in the anticipation of an increase in the sales of savings- oriented life insurance as well as variable life insurance with the recovery of domestic economy. In the meantime, the claims paid during the second quarter are expected to reach 10,156 billion won, a 3.4 percent increase form the previous quarter.


<Figure 10>  Assets Composition Trends of the Life Insurance Industry


As for the asset management, life insurers will implement agressive investment strategies during the second quarter since the stock market is expected to continue being bullish. In addition, some life insurers are expected to either spin off their 

- 124 -

asset management divisions as a subsidiary or outsource their asset management activities to professional asset management companies. 

During the second quarter, the insurance industry is expected to organize a task force that will make standard policy provisions for electronic insurance transactions, such as policy applications, policy loans, contract management services, etc. Standard policy provisions will play a role in the vitalization of insurance sales through the internet.


<Table 32>         Life Insurance Industry Forecasts1)

(unit: billion won, %)  

2001

2002

4/4

1/42)

2/43)

Total Assets 

137,962

(6.6)

145,688

(5.6)

156,032

(7.1)

Premium Income

13,873

(24.9)

14,525

(4.7)

15,731

(8.3)

Claims Paid

9,527

(10.7)

9,822

(3.1)

10,156

(3.4)

Notes: 1) Figures in parentheses are percentage changes from the previous quarter.

2) KIF estimates.

3) KIF forecasts.

Sources: Financial Supervisory Service, KIF.


Non- life Insurance


At the end of the first quarter in 2002, the total assets of the non- life insurance industry reached 35,916 billion won, a 8.0 percent increase from the previous quarter. This growth is due to not only the increase in insurance sales, supported by the economic recovery, but also the decrease in the loss ratio of automobile insurance. The premium income during the first quarter reached 5,038 billion won, a 5.4 percent increase from the previous quarter. 

- 125 -

<Table 33>  Key Indicators of the Non- life Insurance Industry1)

(unit: billion won, %)

2001

2002

1/4

2/4

3/4

4/4

1/42)

Total Assets

28,049

(- 3.38)

28,930

(3.1)

31,012

(7.2)

33,256

(7.2)

35,916

(8.0)

Direct Premiums Written

4,082

(- 7.8)

4,386

(7.4)

4,616

(5.2)

4,780      (3.6)

5,038

(5.4)

Direct Claims Paid

2,827

(- 12.0)

1,735

(- 38.6)

2,845

(64.0)

7,4954)

(163.4)

2,811

(- 62.5)

Management Expenses

976

(0.2)

1,001

(2.6)

1,068

(6.7)

1,072

(0.4)

1,059

(- 1.2)

Securities 

Loans

Cash & Deposits

Real Estates

Others3)

48.1

17.2

10.8

12.9

11.0

46.3

13.8

9.9

10.0

20.0 

48.3

13.5

9.5

9.7

19.0

47.4

13.0

7.3

9.2

23.1

48.5

13.3

7.1

9.5

21.6

Notes:1)Figures in parentheses represent the percentage changes from the previous quarter.

2) KIF estimates.

3) Mostly account receivables.

4)This figure includes the public fund injected into Seoul Guaranty Insurance Company during the fourth quarter.

Sources:Financial Supervisory Service, Korea Non- Life Insurance Association, KIF.


As for asset management, non- life insurers took aggressive investment strategies. In the anticipation of an economic recovery, non- life insurers invested in more stocks. The ratio of cash and deposits to total assets reached 7.1 percent, a 0.2 percent decrease from the previous quarter, while the ratio of securities to total assets amounted to 48.5 percent a 1.1 percent rise from the previous quarter. Meanwhile, the ratio of loans to total assets reached 13.3 percent, a 0.3 percent increase from the previous quarter. 

Measures to uproot rebate practices in return for purchasing insurance were announced by the FSS. In addition, the FSS organized a special task force and set up a reporting center for violations against the regulations on insurance distribution. In the meantime, the FSS is required to implement the measures effectively by 

- 126 -

maintaining an around- the- clock supervisory system monitoring rebate practices while punishing both the rebate provider and the rebate recipient at the same time.


<Figure11> Financial Performance of the Non- life Insurance Industry 



The time required to reach the least premium level was proposed to be extended from 8 years to 12 years by the FSS. Non- life insurers have insisted that premium discounts for good drivers may cause an increase in the loss ratio of automobile insurance. The proposal, however, was later completely withdrawn due to the lack of rationale and statistical data as well as policyholders' protestations.

The total assets of the non- life insurance industry during the second quarter are expected to rise 8.3 percent, reaching 38,897 billion won, because economic recovery will stir the demand for insurance. The premium income during the second quarter is expected to reach 5,340 won, a 6.0 percent increase from the previous quarter. In the meantime, the claim payment during the second quarter is expected to decrease 1.5 percent, reaching 2,389 billion won, owing to the continous decline in the loss ratio of automobile insurance.

- 127 -

<Table 34> Managerial Efficiency of the Non- life Insurance Industry

(unit: billion won, %)

2001

2002

1/4

2/4

3/4

4/4

1/41)

Loss Ratio2)

Ratio of Net Operating Expense3)

Combined Ratio4)

Investment Income5)

82.4

24.8

107.2

8.8

71.3

24.7

96.0

8.9

73.3

24.8

98.1

9.0

70.9

24.7

95.6

10.4

70.2

24.3

94.5

12.4

Underwriting Profit

Investment Profit

Total Profit

- 1220

782

- 438

76

483

559

50

699

749

261

1,115

1,376

296

1,250

1,546

Notes: 1) KIF estimates.

2) [Incurred losses/Earned premium].

3) [Net expenses/Premiums written].

4) [Loss ratio + Expense ratio].

5)[2×Investment income / (Beginning balance of assets + Ending balance of assets ­Investment income)] × 4/m, where = number of quarters.

Sources:Financial Supervisory Service, Korea Non- Life Insurance Association, KIF.


As for asset management, the ratio of securities to total assets is anticipated to reach 49 percent, a 0.5 percent increase from the previous quarter, as non- life insurers are expected to expand their investments in stocks thanks to the bullish stock market. Meanwhile, the ratio of loans to total assets is expected to slightly decrease from the previous quarter, because non- life insurers will face competition from other financial institutions. 

Spin- offs initiated by large non- life insurers are expected to continue during the second quarter. The large non- life insurers, such as Samsung, Hyundai, Dongbu, and LG, have already spinned off their claim adjustment divisions to cut down business expenses. The exemption of value- added taxes on outsourcing activities will accelerate this movement.

Non- life insurers are expected to make attempts to preoccupy the product liability insurance market because the act for product liability laws will come into force beginning July. According to the laws, people who are involved in sale of defective product, such as distributors, sellers, and producers, must pay premiums. 

- 128 -

Meanwhile, the market size of product liability insurance is expected to reach 255 billion won, a 15 percent increase from the last year.


<Figure 12> Assets Composition Trends of the Non- life Insurance Industry 




<Table 35>        Non- life Insurance Industry Forecasts1)

(unit: billion won, %)  

2001

2002

4/4

1/42)

2/43)

Total Assets 

33,256

(7.2)

35,916

(8.0)

38,897

(8.3)

Direct Premiums Written

4,780 

(3.6)

5,038

(5.4)

5,340

(6.0)

Direct Claims Paid

7,4955)

(163.4)

2,811

(- 62.5)

2,389

(- 1.5)

Notes :1)Figures in parentheses are percentage changes from the previous quarter.

2) KIF estimates. 

3) KIF forecasts.

4)This figure includes the public fund injected into Seoul Guaranty Insurance Company.

Source : Financial Supervisory Service, KIF.

- 129 -