• The Korean Journal of Financial Management
• /
• v.18 no.2
• /
• pp.99-123
• /
• 2001

예금보험제도는 금융기관에 대한 예금자의 신뢰성을 보장해 주어 금융제도의 안정성을 유지시킨다는 면에서 유용한 제도이나 보험의 일반적인 속성인 도덕적 해이를 유발할 수 있다는 단점이 있으며, 이를 방지하기 위한 대안으로 예금보험료율을 금융기관의 위험에 따라 차등화 하는 위험예금 보험료율 제도가 검토되어 왔고 일부 국가에서는 이를 시행하고 있다. 위험예금보험료율을 결정하는 방안으로 그간 주가자료를 이용한 옵션가격결정모형이 주로 연구되어 왔는데, 본 연구에서는 Cox의 위험비례모형을 이용하여 은행의 위험을 측정하고 보험료율을 결정하는 방안에 관하여 연구하였다. 위험비례모형은 옵션가격결정모형과 달리 재무지표를 사용하므로 감독당국에서 실무상 적용하기가 용이하다는 등의 장점이 있다. 위험비례모형을 국내은행에 적용하여 실증분석한 연구결과 현행의 고정 예금보험료율은 국내은행의 위험에 비해 상당히 낮은 수준으로 나타났으며, 보험료율 결정에 가장 큰 영향을 미치는 변수인 은행 실패시 예금보험기구가 부담하는 손실비율을 최소화하기 위해서는 부실은행은 조기 퇴출시켜야 한다는 논리적 타당성도 도출하였다.

• The Korean Journal of Applied Statistics
• /
• v.28 no.6
• /
• pp.1163-1170
• /
• 2015

Various computational methods for obtaining volatilities for financial time series are reviewed and compared with each other. We reviewed model based GARCH approach as well as the data based method which can essentially be regarded as a smoothing technique applied to the squared data. The method for high frequency data is focused to obtain the realized volatility. A hybrid method is suggested by combining the model based GARCH and the historical volatility which is a data based method. Korea stock prices are analysed to illustrate various computational methods for volatilities.

• Communications for Statistical Applications and Methods
• /
• v.15 no.6
• /
• pp.925-937
• /
• 2008

In this study, we considered the clustering analysis for stock return traded in the stock market. Most of financial time-series data, for instance, stock price and exchange rate have conditional heterogeneous variability depending on time, and, hence, are not properly applied to the autoregressive moving-average(ARMA) model with assumption of constant variance. Moreover, the variability is font and center for stock investors as well as academic researchers. So, this paper focuses on the generalized autoregressive conditional heteroscedastic(GARCH) model which is known as a solution for capturing the conditional variance(or volatility). We define the metrics for similarity of unconditional volatility and for homogeneity of model structure, and, then, evaluate the performances of the metrics. In real application, we do clustering analysis in terms of volatility and structure with stock return of the 11 Korean companies measured for the latest three years.

• Management & Information Systems Review
• /
• v.32 no.4
• /
• pp.189-207
• /
• 2013

Using high-frequency data for 2 years, this study investigates intraday lead-lag relationship between stock index and stock index futures markets in Korea and China. We found that there are some differences in price discovery and volatility transmission between Korea and China after the stock index futures markets was introduced. Following Stoll-Whaley(1990) and Chan(1992), the multiple regression is estimated to examine the lead-lag patterns between the two markets by Newey-West's(1987) heteroskedasticity and autocorrelation consistent covariance matrix(HAC matrix). Empirical results of KOSPI 200 shows that the futures market leads the cash market and weak evidence that the cash market leads the futures market. New market information disseminates in the futures market before the stock market with index arbitrageurs then stepping in quickly to bring the cost-of-carry relation back into alignment. The regression tests for the conditional volatility which is estimated using EGARCH model do not show that there is a clear pattern of the futures market leading the stock market in terms of the volatility even though controlling nonsynchronous trading effects. This implies that information in price innovations that originate in the futures market is transmitted to the volatility of the cash market. Empirical results of CSI 300 shows that the cash market is found to play a more dominant role in the price discovery process after the Chinese index started a sharp decline immediately after the stock index futures were introduced. The new stock index futures markets does not function well in its price discovery performance at its infancy stage, apparently due to high barriers to entry into this emerging futures markets. Based on EGAECH model, the results uncover strong bi-directional dependence in the intraday volatility of both markets.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2004.05a
• /
• pp.730-733
• /
• 2004

본 연구에서는 넉아웃 옵션(Knock-out option)이 내재된 주가연계상품(ELS)의 성과를 시뮬레이션을 이용하여 추정한다. 옵션과 기초자산을 결합하여 구성되는 ELS는 상품개발 시점에서 그 수익구조가 결정되며, 실현수익률은 미래의 시장흐름에 의하여 결정된다. 현재 ELS는 옵션가격의 결정, 수익구조의 결정, 그리고 수익률 추정이라는 개별 과정이 각각 옵션발행자, 상품개발자, 고객관리자 등에 의하여 별도로 이루어지고 있는 실정이다. 본 연구에서는 이러한 개별 과정을 통합한 시뮬레이션 모형을 구축한 후, 이 모형의 결과(옵션가격, 수익구조, 실현수익률)를 기존 관행의 결과와 비교하여 본 연구에서 제안한 시뮬레이션 모형의 유용성을 제안한다. 분석 대상은 국내 장외파생상품 및 ELS의 기준이 되는 KOSPI 200 지수로 1990년 1월 3일부터 2002년 12월 30일까지의 1일 자료를 이용한다.

• The Korean Journal of Financial Management
• /
• v.17 no.2
• /
• pp.175-209
• /
• 2000

본 연구는 프로그램매매가 주가지수 선물시장 및 현물 주식시장의 수익률 변동성에 미치는 효과에 대해서 일중 수익률 및 프로그램매매자료를 이용하여 분석을 시도하였다. 실증분석을 통해서 관찰된 결과를 살펴보면 대부분 선진국 시장에서 보고된 결과와 일치하였다. 우선 프로그램매매가 증가할수록 현물 주식시장에서의 변동성은 증대하는 것으로 나타났으나 선물시장에서는 그러한 일관성 있는 관계를 발견하지 못하였다. 프로그램매매 발동 직후 선물 및 현물시장의 수익률은 반전현상을 나타냈으며 특히 현물시장의 가격변화가 선물시장에 비해서 큰 것으로 관찰되었다. 그러나 이러한 선물시장과 현물시장에 있어서의 가격반전 현상이 시장 유동성에 미치는 경제적 영향은 선물만기일과 같이 특정시간대에 프로그램매매가 집중되지 않는 한 경미한 것으로 판단되었다. 프로그램매매 특히 차익거래는 선물 가격과 현물 가격간의 균형 관계가 일시적인 수급상황에 따라 이발될 경우 이를 다시 균형 상태로 회복시켜 줌으로써 시장의 효율성을 증대시키는 주요한 연결통로로서의 역할을 수행한다. 특히 두 시장간의 균형 상태는 선물 시장보다는 현물 주식시장에서의 활발한 매매 활동을 통하여 이루어짐을 알 수 있었다. 결론적으로 국내시장에서 차익거래는 시장의 위험을 증대시키는 부정적인 측면보다는 시장의 효율성을 증진시키는 긍정적인 순기능이 많은 것으로 관찰되었다.

• The Journal of the Korea Contents Association
• /
• v.19 no.4
• /
• pp.1-11
• /
• 2019

Recently, the importance of not only financial factors from financial statements but also non-financial factors such as consumers' evaluation and loyalty to game content is more emphasized when assessing the value of game companies. In this study, we suggest the brand reputation index as an appropriate measure of a game company's valuation and examine the effect of the brand reputation on game companies' stock price using the observations of Korean major 30 game companies. From the empirical results, we find that there is a significantly positive association between the brand reputation index and the game companies' stock price. This explains that the brand reputation of game companies can directly affect their firm value. The findings are expected to contribute to capital markets and academia as they have presented empirical evidence of the importance of brand reputation as a non-financial measure for the valuation of game companies.

• Journal of the Korean Data and Information Science Society
• /
• v.23 no.2
• /
• pp.271-283
• /
• 2012

In this paper, we predicted the rise or the fall in eleven major industrial stock price indices unlike existing studies dealing with the prediction of KOSPI that combines all industries. We used as input variables not only domestic economic indices but also foreign economic indices including the U.S.A, Japan, China and Europe that have affected korean stock market. Numerical analysis through SAS E-miner showed above or below about 60% accuracy using the logistic regression and neural network model.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.17 no.6
• /
• pp.560-565
• /
• 2016

In this study, we empirically scrutinize the relationship between short selling transactions and stock price behaviors using the stock market data in Korea during the period from January 2005 to March 2016. We chose the short selling volume ratio (SVR), stock lending volume ratio (LVR), and stock lending open interest ratio (LIR) as variables of the short selling trading activities. We construct portfolios based on the percentile of the short selling volume ratio during the sample period; upper-10%-SVR portfolio, upper-25%-SVR portfolio, upper-50%-SVR portfolio. We estimate the monthly firm-specific return and monthly skewness of the daily firm-specific returns of each portfolio. The firm-specific return or skewness is specified as a dependent variable and the short selling activities as explanatory variables. The results show that all of the statistically significant estimates of the short selling activities for the firm-specific returns are negative and that all of the statistically significant estimates of the skewness of the short selling activities are positive. These results support the hypothesis that short selling activities cause the stock price to decrease.

• Journal of the Korean Data and Information Science Society
• /
• v.28 no.6
• /
• pp.1471-1479
• /
• 2017

The variability of trade price index of apartment influences on the various aspect, especially economics, social phenomenon, industry, and culture of the country. In this article, the autoregressive error (ARE) model has been considered for analyzing the monthly trading price index of apartment data. About 16 years of the monthly data have been used from September 2001 to May 2017. In the ARE model, six macroeconomic variables are used as the explanatory variables for the rade price index of apartment. The six explanatory variables are mortgage rate, oil import price index, consumer price index, KOSPI stock index, GDP, and GNI. The result has shown that trading price index of apartment explained about 76% by the mortgage rate, and KOSPI stock index.