Volatility-Dependent Skewness-Preference and Equity Investment Strategies

Gao, X., Koedijk, K. G., and Wang, Z. Volatility-Dependent Skewness Preference, The Journal of Portfolio Management, 05 October 2021. DOI: 10.3905/jpm.2021.1.295

31 Pages Posted: 18 Mar 2024

See all articles by Xiang Gao

Xiang Gao

Shanghai Business School

Kees Koedijk

Utrecht University

Zhan Wang

Research Center of Finance, Shanghai Business School

Date Written: September 21, 2020

Abstract

The present paper proposes a variance-dependent explanation for the contradiction between skewness-preference and inferior post-returns for high-skewness stocks. We emphasize an overlooked aspect measured by skewness as a risk proxy—the return uncertainty of extreme events. The findings show that during periods of high market volatility, investors may dislike stocks with a large skewness due to fear of an uncertain outcome. Thus, a negative relation between the return and skewness occurs. Conversely, positive associations emerge under low-volatility-risk environments. Finally, the return-skewness nexus conditional on the variance is demonstrated to possess return predictability and can adjust portfolios well.

Keywords: skewness; volatility; return prediction; portfolio stock selection

JEL Classification: C14; C53; G11; G12

Suggested Citation

Gao, Xiang and Koedijk, Kees and Wang, Zhan, Volatility-Dependent Skewness-Preference and Equity Investment Strategies (September 21, 2020). Gao, X., Koedijk, K. G., and Wang, Z. Volatility-Dependent Skewness Preference, The Journal of Portfolio Management, 05 October 2021. DOI: 10.3905/jpm.2021.1.295, Available at SSRN: https://ssrn.com/abstract=3696252

Xiang Gao

Shanghai Business School ( email )

Shanghai Business School
2271 West Zhongshan Road
Shanghai, 200235
China

Kees Koedijk

Utrecht University ( email )

Vredenburg 138
Utrecht, 3511 BG
Netherlands
+31655186755 (Phone)

Zhan Wang (Contact Author)

Research Center of Finance, Shanghai Business School ( email )

2271 West Zhong Shan Road
Shanghai, Shanghai 200235
China

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