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Downside Risk and the Momentum Effect

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  • Andrew Ang
  • Joseph Chen
  • Yuhang Xing

Abstract

Stocks with greater downside risk, which is measured by higher correlations conditional on downside moves of the market, have higher returns. After controlling for the market beta, the size effect and the book-to-market effect, the average rate of return on stocks with the greatest downside risk exceeds the average rate of return on stocks with the least downside risk by 6.55% per annum. Downside risk is important for explaining the cross-section of expected returns. In particular of the profitability of investing in momentum strategies can be explained as compensation for bearing high exposure to downside risk.

Suggested Citation

  • Andrew Ang & Joseph Chen & Yuhang Xing, 2001. "Downside Risk and the Momentum Effect," NBER Working Papers 8643, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:8643
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    Cited by:

    1. Markus Glaser & Martin Weber, 2003. "Momentum and Turnover: Evidence from the German Stock Market," Schmalenbach Business Review (sbr), LMU Munich School of Management, vol. 55(2), pages 108-135, April.
    2. Chelley-Steeley, Patricia & Siganos, Antonios, 2008. "Momentum profits in alternative stock market structures," Journal of Multinational Financial Management, Elsevier, vol. 18(2), pages 131-144, April.
    3. Gao, Yang & Leung, Henry & Satchell, Stephen, 2022. "Partial moment momentum," Journal of Banking & Finance, Elsevier, vol. 135(C).
    4. Houda Hafsa & Dorra Hmaied, 2012. "Are Downside Higher Order Co-Moments Priced? : Evidence From The French Market," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 6(1), pages 65-81.
    5. Olmo, J., 2007. "An asset pricing model for mean-variance-downside-risk averse investors," Working Papers 07/01, Department of Economics, City University London.
    6. Andrew Ang & Joseph Chen & Yuhang Xing, 2006. "Downside Risk," The Review of Financial Studies, Society for Financial Studies, vol. 19(4), pages 1191-1239.
      • Andrew Ang & Joseph Chen & Yuhang Xing, 2005. "Downside risk," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
    7. Stephen A. Gorman & Frank J. Fabozzi, 2021. "The ABC’s of the alternative risk premium: academic roots," Journal of Asset Management, Palgrave Macmillan, vol. 22(6), pages 405-436, October.
    8. Peter Xu & Rich Pettit, 2014. "No-arbitrage conditions and expected returns when assets have different β’s in up and down markets," Journal of Asset Management, Palgrave Macmillan, vol. 15(1), pages 62-71, February.
    9. Syed Aziz Rasool & Adiqa Kausar Kiani & Noor Jehan, 2018. "The Myth of Downside Risk Based Capital Asset Pricing Model: Empirical Evidence from South Asian Countries," Global Social Sciences Review, Humanity Only, vol. 3(3), pages 265-280, September.
    10. Krishnan, C.N.V. & Petkova, Ralitsa & Ritchken, Peter, 2009. "Correlation risk," Journal of Empirical Finance, Elsevier, vol. 16(3), pages 353-367, June.
    11. Cohen, Randolph B. & Gompers, Paul A. & Vuolteenaho, Tuomo, 2002. "Who underreacts to cash-flow news? evidence from trading between individuals and institutions," Journal of Financial Economics, Elsevier, vol. 66(2-3), pages 409-462.
    12. Ferdi Aarts & Thorsten Lehnert, 2005. "On style momentum strategies," Applied Economics Letters, Taylor & Francis Journals, vol. 12(13), pages 795-799.

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    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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