In this paper we make an analysis of KOSPI 200 index options listed in Korea Stock and Futures Exchange whose trading volume is world best these days. We adopt the stochastic volatility model suggested by Heston (1993) for the dynamics of the underlying asset and use EMM to estimate the parameters of option pricing kernel. The SNP distribution of the implied volatility contains AR (2) and ARCH effects, and the skewness of the distribution is much higher than normal distribution. The distribution has thinner left tail and fatter right tail than normal distribution, which is opposite to the case of S&P 500 options market. The result of estimation shows that Implied volatility series of KOSPI 200 options have weak mean reverting property and are almost nonstationary. The correlation coefficient between the implied volatility and returns is estimated to have negligible negative number. These features are also opposite to the case of S&P 500 options market where implied volatility is reported to have strong mean reversion, and the correlation between the implied VIatilIty and retturns is reported to have large negative number.
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31 May 2007
Research Article|
May 31 2007
The Estimation of Pricing Kernel of KOSPI 200 Options Under Stochastic Volatility Open Access
Chang Hyun Yun
Chang Hyun Yun
University of Seoul
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Publisher: Emerald Publishing on behalf of Korea Derivatives Association
Online ISSN: 2713-6647
Print ISSN: 1229-988X
© 2007 Emerald Publishing Limited
2007
This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode
Journal of Derivatives and Quantitative Studies: Seonmul yeon’gu (2007) 15 (1): 135–165.
Citation
Han SI, Yun CH (2007), "The Estimation of Pricing Kernel of KOSPI 200 Options Under Stochastic Volatility". Journal of Derivatives and Quantitative Studies: Seonmul yeon’gu, Vol. 15 No. 1 pp. 135–165, doi: https://doi.org/10.1108/JDQS-01-2007-B0005
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