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Momentum and the Halloween Indicator: Evidence of a new seasonal pattern in momentum returns

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  • Bhootra, Ajay

Abstract

We report that momentum loser and winner portfolios earn much higher returns over November to April (winter) compared with May to October (summer). Specifically, the average monthly loser (winner) portfolio return is −0.46% (0.77%) over summer, and 1.72% (2.50%) over winter. This seasonal pattern is consistent with the relatively superior performance of the broader equity market over winter months (the “Halloween Indicator”). A modified momentum strategy designed to exploit this seasonal pattern has a much higher average return and Sharpe ratio than the conventional momentum strategy.

Suggested Citation

  • Bhootra, Ajay, 2019. "Momentum and the Halloween Indicator: Evidence of a new seasonal pattern in momentum returns," Finance Research Letters, Elsevier, vol. 31(C), pages 26-31.
  • Handle: RePEc:eee:finlet:v:31:y:2019:i:c:p:26-31
    DOI: 10.1016/j.frl.2019.04.013
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    References listed on IDEAS

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    1. Antoniou, Constantinos & Doukas, John A. & Subrahmanyam, Avanidhar, 2013. "Cognitive Dissonance, Sentiment, and Momentum," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(1), pages 245-275, February.
    2. Harrison Hong & Terence Lim & Jeremy C. Stein, 2000. "Bad News Travels Slowly: Size, Analyst Coverage, and the Profitability of Momentum Strategies," Journal of Finance, American Finance Association, vol. 55(1), pages 265-295, February.
    3. Michael J. Cooper & Roberto C. Gutierrez & Allaudeen Hameed, 2004. "Market States and Momentum," Journal of Finance, American Finance Association, vol. 59(3), pages 1345-1365, June.
    4. Doron Avramov & Tarun Chordia & Gergana Jostova & Alexander Philipov, 2007. "Momentum and Credit Rating," Journal of Finance, American Finance Association, vol. 62(5), pages 2503-2520, October.
    5. Sven Bouman & Ben Jacobsen, 2002. "The Halloween Indicator, "Sell in May and Go Away": Another Puzzle," American Economic Review, American Economic Association, vol. 92(5), pages 1618-1635, December.
    6. John M. Griffin & Xiuqing Ji & J. Spencer Martin, 2003. "Momentum Investing and Business Cycle Risk: Evidence from Pole to Pole," Journal of Finance, American Finance Association, vol. 58(6), pages 2515-2547, December.
    7. Thomas J. George & Chuan-Yang Hwang, 2004. "The 52-Week High and Momentum Investing," Journal of Finance, American Finance Association, vol. 59(5), pages 2145-2176, October.
    8. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    9. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    10. Ji, Xiuqing & Martin, J. Spencer & Yao, Yaqiong, 2017. "Macroeconomic risk and seasonality in momentum profits," Journal of Financial Markets, Elsevier, vol. 36(C), pages 76-90.
    11. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
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    Cited by:

    1. Song, Jian & Balvers, Ronald J., 2022. "Seasonality and momentum across national equity markets," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
    2. Ali, Fahad & Ülkü, Numan, 2021. "Quest for a parsimonious factor model in the wake of quality-minus-junk, misvaluation and Fama-French-six factors," Finance Research Letters, Elsevier, vol. 41(C).
    3. Wang, Jun & Song, Xiuna, 2022. "The effect of limited attention and risk attitude on left-tail reversal: Empirical results from a-share data in China," Finance Research Letters, Elsevier, vol. 46(PA).

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