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The idiosyncratic volatility of volatility effect in the A-share market: An interpretation based on heterogeneous variance beliefs

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  • Hu, Zhijun
  • Gao, Xiang
  • Ling, Aifan

Abstract

Employing a stochastic volatility model, we theoretically demonstrate that investors with heterogeneous variance beliefs require lower risk premiums as idiosyncratic volatility of volatility increases in China`s A-share market. Empirical analysis confirms this, showing that the monthly average return of the quintile with the highest idiosyncratic volatility of volatility is significantly lower by 0.766 % compared to the lowest quintile. This negative risk premium phenomenon remains robust after controlling for common risk factors and firm characteristics. Our research deepens the comprehension of asset pricing mechanisms in the A-share market and offers new insights for the development of factor pricing models.

Suggested Citation

  • Hu, Zhijun & Gao, Xiang & Ling, Aifan, 2025. "The idiosyncratic volatility of volatility effect in the A-share market: An interpretation based on heterogeneous variance beliefs," Finance Research Letters, Elsevier, vol. 75(C).
    • Handle: RePEc:eee:finlet:v:75:y:2025:i:c:s1544612325001163
    DOI: 10.1016/j.frl.2025.106851
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    1. Tim Bollerslev & George Tauchen & Hao Zhou, 2009. "Expected Stock Returns and Variance Risk Premia," The Review of Financial Studies, Society for Financial Studies, vol. 22(11), pages 4463-4492, November.
    2. Banerjee, Ameet Kumar & Pradhan, H.K., 2022. "Intraday analysis of macroeconomic news surprises, and asymmetries in Indian benchmark bond," Finance Research Letters, Elsevier, vol. 45(C).
    3. Jacquier, Eric & Polson, Nicholas G & Rossi, Peter E, 2002. "Bayesian Analysis of Stochastic Volatility Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 69-87, January.
    4. Ang, Andrew & Hodrick, Robert J. & Xing, Yuhang & Zhang, Xiaoyan, 2009. "High idiosyncratic volatility and low returns: International and further U.S. evidence," Journal of Financial Economics, Elsevier, vol. 91(1), pages 1-23, January.
    5. H. Henry Cao & Tan Wang & Harold H. Zhang, 2005. "Model Uncertainty, Limited Market Participation, and Asset Prices," The Review of Financial Studies, Society for Financial Studies, vol. 18(4), pages 1219-1251.
    6. Cao, Jiahui & Wen, Fenghua & Zhang, Yue & Yin, Zhujia & Zhang, Yun, 2022. "Idiosyncratic volatility and stock price crash risk: Evidence from china," Finance Research Letters, Elsevier, vol. 44(C).
    7. Huang, Darien & Schlag, Christian & Shaliastovich, Ivan & Thimme, Julian, 2019. "Volatility-of-Volatility Risk," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 54(6), pages 2423-2452, December.
    8. Nicholas Barberis & Abhiroop Mukherjee & Baolian Wang, 2016. "Prospect Theory and Stock Returns: An Empirical Test," The Review of Financial Studies, Society for Financial Studies, vol. 29(11), pages 3068-3107.
    9. Beeler, Jason & Campbell, John Y., 2012. "The Long-Run Risks Model and Aggregate Asset Prices: An Empirical Assessment," Critical Finance Review, now publishers, vol. 1(1), pages 141-182, January.
    10. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 2003. "Modeling and Forecasting Realized Volatility," Econometrica, Econometric Society, vol. 71(2), pages 579-625, March.
    11. Andrew Ang & Robert J. Hodrick & Yuhang Xing & Xiaoyan Zhang, 2006. "The Cross‐Section of Volatility and Expected Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 259-299, February.
    12. Banerjee, Ameet Kumar & Dionisio, Andreia & Pradhan, H.K. & Mahapatra, Biplab, 2021. "Hunting the quicksilver: Using textual news and causality analysis to predict market volatility," International Review of Financial Analysis, Elsevier, vol. 77(C).
    13. Baltussen, Guido & van Bekkum, Sjoerd & van der Grient, Bart, 2018. "Unknown Unknowns: Uncertainty About Risk and Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(4), pages 1615-1651, August.
    14. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    15. Gu, Ming & Kang, Wenjin & Xu, Bu, 2018. "Limits of arbitrage and idiosyncratic volatility: Evidence from China stock market," Journal of Banking & Finance, Elsevier, vol. 86(C), pages 240-258.
    16. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    17. David Easley & Maureen O'Hara, 2009. "Ambiguity and Nonparticipation: The Role of Regulation," The Review of Financial Studies, Society for Financial Studies, vol. 22(5), pages 1817-1843, May.
    18. Cosemans, Mathijs & Frehen, Rik, 2021. "Salience theory and stock prices: Empirical evidence," Journal of Financial Economics, Elsevier, vol. 140(2), pages 460-483.
    19. Wan, Xiaoyuan, 2018. "Is the idiosyncratic volatility anomaly driven by the MAX or MIN effect? Evidence from the Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 53(C), pages 1-15.
    20. Liu, Dayong & Gu, Kaiyuan & Hu, Wenhua, 2023. "ESG performance and stock idiosyncratic volatility," Finance Research Letters, Elsevier, vol. 58(PB).
    21. repec:bla:jfinan:v:59:y:2004:i:4:p:1481-1509 is not listed on IDEAS
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