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Return dispersion and expected returns

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  • Xiaoquan Jiang

Abstract

This paper proposes a two-factor asset-pricing model that incorporates market return and return dispersion. Consistent with this model, we find that stocks with higher sensitivities to return dispersion have higher average returns, and that return dispersion carries a significant positive price of risk. In particular, the return dispersion factor dominates the book-to-market factor in explaining cross-sectional expected returns. The return dispersion model outperforms the CAPM, MVM, IVM, and FF-3M when using a set of 5×5 test portfolios constructed from NYSE and AMEX stock returns from August 1963 to December 2005. Return dispersion continues to play an important role in explaining the cross-sectional variation of expected returns, even when market volatility, idiosyncratic volatility, size, book-to-market factors, and a momentum factor are included. This study sheds some light on the ability of return dispersion to explain expected returns beyond the standard asset-pricing factors. Our finding suggests that return dispersion captures two dimensions of systematic risk: the business cycle and fundamental economic restructuring. Copyright Swiss Society for Financial Market Research 2010

Suggested Citation

  • Xiaoquan Jiang, 2010. "Return dispersion and expected returns," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 24(2), pages 107-135, June.
  • Handle: RePEc:kap:fmktpm:v:24:y:2010:i:2:p:107-135
    DOI: 10.1007/s11408-009-0122-1
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    Cited by:

    1. Rıza Demirer & Shrikant P. Jategaonkar, 2013. "The conditional relation between dispersion and return," Review of Financial Economics, John Wiley & Sons, vol. 22(3), pages 125-134, September.
    2. Maio, Paulo, 2016. "Cross-sectional return dispersion and the equity premium," Journal of Financial Markets, Elsevier, vol. 29(C), pages 87-109.
    3. Kuntz, Laura-Chloé, 2020. "Beta dispersion and market timing," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 235-256.
    4. Chen, Chun-Da & Demirer, Riza & Jategaonkar, Shrikant P., 2015. "Risk and return in the Chinese stock market: Does equity return dispersion proxy risk?," Pacific-Basin Finance Journal, Elsevier, vol. 33(C), pages 23-37.
    5. Lucas Schneider & Johannes Stübinger, 2020. "Dispersion Trading Based on the Explanatory Power of S&P 500 Stock Returns," Mathematics, MDPI, vol. 8(9), pages 1-22, September.
    6. Grobys, Klaus & Heinonen, Jari-Pekka & Kolari, James, 2018. "Return dispersion risk in FX and global equity markets: Does it explain currency momentum?," International Review of Financial Analysis, Elsevier, vol. 56(C), pages 264-280.
    7. Eriksen, Jonas N., 2019. "Cross-sectional return dispersion and currency momentum," Journal of Empirical Finance, Elsevier, vol. 53(C), pages 91-108.
    8. William G. Hardin & Xiaoquan Jiang & Zhonghua Wu, 2017. "Inflation Illusion, Expertise and Commercial Real Estate," The Journal of Real Estate Finance and Economics, Springer, vol. 55(3), pages 345-369, October.
    9. Afees A. Salisu & Riza Demirer & Rangan Gupta, 2023. "Technological Shocks and Stock Market Volatility Over a Century: A GARCH-MIDAS Approach," Working Papers 202308, University of Pretoria, Department of Economics.
    10. Kuntz, Laura-Chloé, 2020. "Beta dispersion and market timing," Discussion Papers 46/2020, Deutsche Bundesbank.
    11. Chichernea, Doina C. & Holder, Anthony D. & Petkevich, Alex, 2015. "Does return dispersion explain the accrual and investment anomalies?," Journal of Accounting and Economics, Elsevier, vol. 60(1), pages 133-148.
    12. Riza Demirer & Rangan Gupta & Zhihui Lv & Wing-Keung Wong, 2019. "Equity Return Dispersion and Stock Market Volatility: Evidence from Multivariate Linear and Nonlinear Causality Tests," Sustainability, MDPI, vol. 11(2), pages 1-15, January.
    13. Ilan Cooper & Liang Ma & Paulo Maio, 2022. "What Does the Cross‐Section Tell About Itself? Explaining Equity Risk Premia with Stock Return Moments," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(1), pages 73-118, February.
    14. Doina C. Chichernea & Haimanot Kassa & Steve L. Slezak, 2019. "Lottery preferences and the idiosyncratic volatility puzzle," European Financial Management, European Financial Management Association, vol. 25(3), pages 655-683, June.
    15. James W. Kolari & Jianhua Z. Huang & Wei Liu & Huiling Liao, 2022. "Further Tests of the ZCAPM Asset Pricing Model," JRFM, MDPI, vol. 15(3), pages 1-23, March.
    16. Kolari, James W. & Huang, Jianhua Z. & Butt, Hilal Anwar & Liao, Huiling, 2022. "International tests of the ZCAPM asset pricing model," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).

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    More about this item

    Keywords

    Return dispersion; Cross-sectional returns; Asset pricing; Market volatility; Idiosyncratic volatility; G11; G12;
    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

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