변동성 측정방법에 따른 KOSPI200 지수의 변동성 예측 비교 = Forecasting KOSPI 200 Volatility by Volatility Measurements

다국어 초록 (Multilingual Abstract)

In this paper, we examine the forecasting KOSPI 200 realized volatility by volatility measurements. The empirical investigation for KOSPI 200 daily returns is done during the period from 3 January 2003 to 29 June 2007. Since Korea Exchange(KRX) will launch VKOSPI futures contract in 2010, forecasting VKOSPI can be an important issue. So we analyze which volatility measurements forecast VKOSPI better. To test this hypothesis, we use 5-minute interval returns to measure realized volatilities. Also, we propose a new methodology that reflects the synchronized bidding and simultaneously takes it account the difference between overnight volatility and intra-daily volatility. The t-test and F-test show that our new realized volatility is not only different from the realized volatility by a conventional method at less than 0.01% significance level, also more stable in summary statistics. We use the correlation analysis, regression analysis, cross validation test to investigate the forecast performance. The empirical result shows that the realized volatility we propose is better than other volatilities, including historical volatility, implied volatility, and convention realized volatility, for forecasting VKOSPI. Also, the regression analysis on the predictive abilities for realized volatility, which is measured by our new methodology and conventional one, shows that VKOSPI is an efficient estimator compared to historical volatility and CRR implied volatility.

참고문헌 (Reference)

1 Christensen, B. J., "The relation between implied and realized volatility" 50 : 125-150, 1998

2 Canina, L., "The informational content of implied volatility" 6 : 659-681, 1993

3 Corrado, C. J., "The Forecast Quality of CBOE Implied Volatility Indexes" 25 : 339-373, 2005

4 Day, T., "Stock market volatility and the information content of stock Index options" 52 : 267-287, 1992

5 Jorion, P., "Predicting volatility in the foreign exchange market" 50 : 507-528, 1995

6 Cox, J., "Option pricing: A simplified approach" 7 : 220-263, 1979

7 Martens, M., "Measuring and forecasting S&P 500 index-futures volatility using high-frequency data" 22 : 497-518, 2002

8 유시용, "KOSPI200 실현변동성 예측력 제고에 관한 연구" 한국파생상품학회 17 (17): 21-49, 2009

9 이재하, "KOSPI1200 옵션시장에서의 변동성지수 산출 및 분석" 35 : 109-138, 2006

10 Andersen, T. G., "Forecasting financial market volatility: Sample frequency vis-a-vis forecast horizon" 6 : 457-477, 1999

11 Koopman, S. J., "Forecasting daily variability of the S&P 100 stock index using historical, realized and implied volatility" 12 : 445-475, 2005

12 Owain, G., "Forecasting Volatility for options pricing for the U.K stock market" 14 : 55-62, 2001

13 Andersen, T. G., "Answering the skeptics: Yes, standard volatility models do provide accurate forecasts" 39 : 885-905, 1998