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Are investors moonstruck? Further international evidence on lunar phases and stock returns

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  • Keef, Stephen P.
  • Khaled, Mohammed S.

Abstract

This study uses an alternative model specification to re-examine the influences of the new moon and the full moon on the daily returns of 62 international stock indices for the period 1988 to 2008. The fixed effects panel model incorporates the prior day effect and two calendar anomalies, i.e., the Monday effect and the turn-of-the-month effect, to assess variations in the lunar influences. A covariate, based on per capita gross domestic product (GDP), examines how the results vary between countries. The prior day effect is greater for less developed countries. The overall enhanced new moon effect is independent of GDP. An overall full moon effect is absent. These lunar effects are weakly influenced by the calendar anomalies.

Suggested Citation

  • Keef, Stephen P. & Khaled, Mohammed S., 2011. "Are investors moonstruck? Further international evidence on lunar phases and stock returns," Journal of Empirical Finance, Elsevier, vol. 18(1), pages 56-63, January.
    • Handle: RePEc:eee:empfin:v:18:y:2011:i:1:p:56-63
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    References listed on IDEAS

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    1. Keef, Stephen P. & Khaled, Mohammed & Zhu, Hui, 2009. "The dynamics of the Monday effect in international stock indices," International Review of Financial Analysis, Elsevier, vol. 18(3), pages 125-133, June.
    2. Connolly, Robert A., 1989. "An Examination of the Robustness of the Weekend Effect," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(2), pages 133-169, June.
    3. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    4. Yuan, Kathy & Zheng, Lu & Zhu, Qiaoqiao, 2006. "Are investors moonstruck? Lunar phases and stock returns," Journal of Empirical Finance, Elsevier, vol. 13(1), pages 1-23, January.
    5. Robert E. Hall & Charles I. Jones, 1999. "Why do Some Countries Produce So Much More Output Per Worker than Others?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(1), pages 83-116.
    6. Dowling, Michael & Lucey, Brian M., 2005. "Weather, biorhythms, beliefs and stock returns--Some preliminary Irish evidence," International Review of Financial Analysis, Elsevier, vol. 14(3), pages 337-355.
    7. Wilson Tong, 2000. "International Evidence On Weekend Anomalies," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 23(4), pages 495-522, December.
    8. Ariel, Robert A., 1987. "A monthly effect in stock returns," Journal of Financial Economics, Elsevier, vol. 18(1), pages 161-174, March.
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    Cited by:

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    4. Keef, Stephen P. & Khaled, Mohammed S., 2011. "A review of the seasonal affective disorder hypothesis," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(6), pages 959-967.
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    7. Kim, Jae H., 2017. "Stock returns and investors' mood: Good day sunshine or spurious correlation?," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 94-103.
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    9. Christos Floros & Yong Tan, 2013. "Moon Phases, Mood and Stock Market Returns," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 12(1), pages 107-127, April.
    10. Kaustia, Markku & Rantapuska, Elias, 2013. "Does mood affect trading behavior?," SAFE Working Paper Series 4, Leibniz Institute for Financial Research SAFE.
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