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Return asymmetry and the cross section of stock returns

Author

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  • Xu, Zhongxiang
  • Chevapatrakul, Thanaset
  • Li, Xiafei
Abstract
This paper develops a new measure of return asymmetry, following Patil et al. (2012). We demonstrate that the return asymmetry measure helps explain the cross section of stock returns. Consistent with results in Barberis and Huang (2008), our empirical findings show that stocks with high return asymmetry exhibit low expected returns. The negative relation between return asymmetry and the cross section of stock returns persists for up to the 12-month forecast horizon and remains robust after controlling for the effects of skewness.

Suggested Citation

  • Xu, Zhongxiang & Chevapatrakul, Thanaset & Li, Xiafei, 2019. "Return asymmetry and the cross section of stock returns," Journal of International Money and Finance, Elsevier, vol. 97(C), pages 93-110.
    • Handle: RePEc:eee:jimfin:v:97:y:2019:i:c:p:93-110
    DOI: 10.1016/j.jimonfin.2019.06.005
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    Cited by:

    1. Chen, Yan & Liu, Yakun, 2024. "Idiosyncratic asymmetry in stock returns: An entropy measure," Finance Research Letters, Elsevier, vol. 64(C).
    2. Xu, Zhongxiang & Li, Xiafei & Chevapatrakul, Thanaset & Gao, Ning, 2022. "Default risk, macroeconomic conditions, and the market skewness risk premium," Journal of International Money and Finance, Elsevier, vol. 127(C).
    3. Afees A. Salisu & Kazeem Isah & Nnenna Ogbonnaya‐Orji, 2022. "A firm level analysis of asymmetric response of U.S. stock returns to exchange rate movements," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1220-1239, January.

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    More about this item

    Keywords

    Empirical asset pricing; Return asymmetry; Skewness;
    All these keywords.

    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • 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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