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Testing the mood seasonality hypothesis: Evidence from down under

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  • Lee, Deok-Hyeon
  • Min, Byoung-Kyu
  • Xiao, Yuchao

Abstract

We examine whether seasonal variations in investor mood are associated with return seasonalities in U.S. and Australian equity markets. We first replicate the main results of Hirshleifer et al. (2020) for the U.S. market that stock returns' relative performance during past high or low mood periods tends to recur in periods with congruent mood but reverse in periods with noncongruent mood. We next test the mood seasonality hypothesis in Australia (Southern hemisphere), where the calendar timing of seasons is opposite to that experienced in the United States (Northern hemisphere). This enables us to identify whether the seasonally varying investor mood effect on returns is independent of the actual calendar month. In the Australian market we also find the congruent-mood recurrence and noncongruent-mood reversal effects under our hypothesized high and low mood months, and this effect is particularly strong for the full cross-section of individual assets.

Suggested Citation

  • Lee, Deok-Hyeon & Min, Byoung-Kyu & Xiao, Yuchao, 2020. "Testing the mood seasonality hypothesis: Evidence from down under," Pacific-Basin Finance Journal, Elsevier, vol. 64(C).
  • Handle: RePEc:eee:pacfin:v:64:y:2020:i:c:s0927538x20305795
    DOI: 10.1016/j.pacfin.2020.101440
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    References listed on IDEAS

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    1. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    2. Hirshleifer, David & Jiang, Danling & DiGiovanni, Yuting Meng, 2020. "Mood beta and seasonalities in stock returns," Journal of Financial Economics, Elsevier, vol. 137(1), pages 272-295.
    3. Kelley Bergsma & Danling Jiang, 2016. "Cultural New Year Holidays and Stock Returns around the World," Financial Management, Financial Management Association International, vol. 45(1), pages 3-35, March.
    4. Heston, Steven L. & Sadka, Ronnie, 2008. "Seasonality in the cross-section of stock returns," Journal of Financial Economics, Elsevier, vol. 87(2), pages 418-445, February.
    5. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    6. Kamstra, Mark J. & Kramer, Lisa A. & Levi, Maurice D. & Wermers, Russ, 2017. "Seasonal Asset Allocation: Evidence from Mutual Fund Flows," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(1), pages 71-109, February.
    7. Josef Lakonishok, Seymour Smidt, 1988. "Are Seasonal Anomalies Real? A Ninety-Year Perspective," Review of Financial Studies, Society for Financial Studies, vol. 1(4), pages 403-425.
    8. Matti Keloharju & Juhani T. Linnainmaa & Peter Nyberg, 2016. "Return Seasonalities," Journal of Finance, American Finance Association, vol. 71(4), pages 1557-1590, August.
    9. French, Kenneth R., 1980. "Stock returns and the weekend effect," Journal of Financial Economics, Elsevier, vol. 8(1), pages 55-69, March.
    10. Sinclair Davidson & Robert Faff, 1999. "Some additional Australian evidence on the day-of-the-week effect," Applied Economics Letters, Taylor & Francis Journals, vol. 6(4), pages 247-249.
    11. Birru, Justin, 2018. "Day of the week and the cross-section of returns," Journal of Financial Economics, Elsevier, vol. 130(1), pages 182-214.
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    Cited by:

    1. Guo, Shuxin & Yuan, Yue & Ma, Feng, 2022. "Cross-sectional seasonalities and seasonal reversals: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 82(C).

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    More about this item

    Keywords

    Return seasonality; Investor mood; Anomalies; Return predictability;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

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