This paper conducts a factor analysis using the implied variances of S&P 500 index options and KOSPI 200 index options. After estimating the factors that influence variance risks, we rotate the factors to decompose them into a common factor and local factors. The results show that 10~12 percent of variance risks in both markets is explained by the common factor and 65 percent of S&P 500 implied variances and 70 percent of KOSPI 200 implied variances are explained by each local factor, which is in contrast to the results for bond markets that the most variation of interest rates could be explained by a common factor. To figure out the source of common and local factors, additionally, we adopt the regression models that incorporate the risk-neutral (RN) variance, skewness, and kurtosis as explanatory variables. Approximately, the common factor is mainly determined by the RN variance of the S&P 500 index and RN higher moments of the KOSPI 200 index. In contrast, the S&P 500 local factor is influenced by the RN variance of the S&P 500 index and the KOSPI 200 local factor is explained by the RN higher moment of the KOSPI 200 index.
Research Article|
May 31 2012
Common Factors and Local Factors in Variance Risks: Evidence from S&P500 and KOSPI200 Index Options
Publisher: Emerald Publishing on behalf of Korea Derivatives Association
Online ISSN: 2713-6647
Print ISSN: 1229-988X
© 2012 Emerald Publishing Limited
2012
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 (2012) 20 (2): 133–164.
Citation
Yoon S, Kang SH (2012), "Common Factors and Local Factors in Variance Risks: Evidence from S&P500 and KOSPI200 Index Options". Journal of Derivatives and Quantitative Studies: Seonmul yeon’gu, Vol. 20 No. 2 pp. 133–164, doi: https://doi.org/10.1108/JDQS-02-2012-B0001
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