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Is the idiosyncratic volatility anomaly driven by the MAX or MIN effect? Evidence from the Chinese stock market

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  • Wan, Xiaoyuan

Abstract

The literature documents that the IVOL anomaly is subsumed by the MAX effect in U.S. and European stock market. Consistent with the literature, we find strong IVOL and MAX effects in the Chinese stock market. However, we show that the IVOL anomaly is not subsumed by the MAX effect, instead the MAX effect is subsumed by the IVOL anomaly. We interpret our findings as evidence that the IVOL anomaly in the Chinese stock market is beyond the effect of typical investor behavioral biases and there are stronger limits to arbitrage in the Chinese stock market due to unique institutional settings.

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  • 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.
    • Handle: RePEc:eee:reveco:v:53:y:2018:i:c:p:1-15
    DOI: 10.1016/j.iref.2017.10.015
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    3. Liu, Hao & Chen, Yue & Wan, Wei & Zhang, Qun, 2021. "A novel explanation for idiosyncratic volatility anomaly: An asset decomposition perspective," Economics Letters, Elsevier, vol. 206(C).
    4. Ali, Syed Riaz Mahmood & Hasan, Mohammad Nurul & Östermark, Ralf, 2020. "Are idiosyncratic risk and extreme positive return priced in the Indian equity market?," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 530-545.
    5. Gui, Pingshu & Zhu, Yifeng, 2021. "Margin trading and stock idiosyncratic volatility: Evidence from the Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 484-496.
    6. Bi, Jia & Gui, Pingshu & Zhu, Yifeng, 2022. "Large transactions and the MAX effect: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
    7. Yao, Shouyu & Wang, Chunfeng & Cui, Xin & Fang, Zhenming, 2019. "Idiosyncratic skewness, gambling preference, and cross-section of stock returns: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 464-483.
    8. Asgar Ali & K. N. Badhani, 2023. "Tail risk, beta anomaly, and demand for lottery: what explains cross-sectional variations in equity returns?," Empirical Economics, Springer, vol. 65(2), pages 775-804, August.
    9. Wan, Xiaoyuan, 2020. "The impact of short-selling and margin-buying on liquidity: Evidence from the Chinese stock market," Journal of Empirical Finance, Elsevier, vol. 55(C), pages 104-118.
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    13. Gould, John & Yang, Joey W. & Singh, Ranjodh & Yeo, Ben, 2023. "The seasonality of lottery-like stock returns," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 383-400.
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    15. Hai, Hoang Van & Park, Jong Won & Tsai, Ping-Chen & Eom, Cheoljun, 2020. "Lottery mindset, mispricing and idiosyncratic volatility puzzle: Evidence from the Chinese stock market," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
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    More about this item

    Keywords

    Idiosyncratic volatility anomaly; Extreme returns; Investor behavioral biases; Limits to arbitrage; The Chinese stock market;
    All these keywords.

    JEL classification:

    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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