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The Pricing of Skewness Over Different Return Horizons

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  • Aretz, Kevin
  • Eser Arisoy, Y.

Abstract

While recent theoretical and empirical work suggests that the physical skewness of a stock’s future discrete return distribution prices stocks, it does not tell us over which return horizon(s) that physical skewness is priced. Developing a novel block bootstrap estimator that allows us to calculate realized return skewness over arbitrary horizons, we aim to identify those return horizons. In doing so, we first show that our block bootstrap estimator produces more accurate realized skewness estimates than other recent estimators do. Next, we report that the existing skewness proxies used in the empirical asset pricing literature differ in how well they predict skewness over short or long return horizons. Finally, we reveal that the skewness pricing evidence documented in the empirical asset pricing literature is mostly driven by skewness over short (and not long) return horizons.

Suggested Citation

  • Aretz, Kevin & Eser Arisoy, Y., 2023. "The Pricing of Skewness Over Different Return Horizons," Journal of Banking & Finance, Elsevier, vol. 148(C).
  • Handle: RePEc:eee:jbfina:v:148:y:2023:i:c:s037842662200293x
    DOI: 10.1016/j.jbankfin.2022.106713
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    Cited by:

    1. Ni, Zhongxin & Wang, Linyu, 2023. "The predictability of skewness risk premium on stock returns: Evidence from Chinese market," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 576-594.

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    More about this item

    Keywords

    asset pricing; physical skewness; realized skewness; quantile regression models;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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