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Skewness, Individual Investor Preference, and the Cross-section of Stock Returns
[Illiquidity and stock returns: cross-section and time-series effects]

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  • Tse-Chun Lin
  • Xin Liu

Abstract

We find a robust negative relation between skewness/lottery-like features, proxied by maximum return (MAX) over the last month, and future returns for stocks preferred by individual investors. This negative relation is nonexistent for the rest of stocks. We identify stocks preferred by individual investors through bundling ten stock characteristics associated with their stock preferences. The negative relation between MAX and future return is produced by the stocks preferred by individuals that account for less than 5% of the overall market capitalization. Our results are robust to alternative definitions of MAX and lottery-like features such as total, idiosyncratic, and expected skewness.

Suggested Citation

  • Tse-Chun Lin & Xin Liu, 2018. "Skewness, Individual Investor Preference, and the Cross-section of Stock Returns [Illiquidity and stock returns: cross-section and time-series effects]," Review of Finance, European Finance Association, vol. 22(5), pages 1841-1876.
  • Handle: RePEc:oup:revfin:v:22:y:2018:i:5:p:1841-1876.
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    5. Vesa Pursiainen & Jan Toczynski, 2023. "Retail Investors’ Cryptocurrency Investments," Swiss Finance Institute Research Paper Series 23-51, Swiss Finance Institute.
    6. Tilman H. Drerup & Matthias Wibral & Christian Zimpelmann, 2023. "Skewness expectations and portfolio choice," Experimental Economics, Springer;Economic Science Association, vol. 26(1), pages 107-144, March.
    7. 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.
    8. Huang, Helen Hui & Sun, Jianchun & Zhang, Shunming, 2024. "Asset pricing for the lottery-like security under probability weighting: Based on generalized Wang transform," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).
    9. Yue, Tian & Huang, Jiexiang & Ruan, Xinfeng, 2024. "Comomentum in China: Inferring arbitrage activity from return correlation," Pacific-Basin Finance Journal, Elsevier, vol. 85(C).
    10. Gao, Ya & Bradrania, Reza, 2024. "Property crime and lottery-related anomalies," Global Finance Journal, Elsevier, vol. 59(C).

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