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The Month-of-the-Year Effect in the European, American, Australian and Asian Markets

Author

Listed:
  • Gualter Couto

    (School of Business and Economics and CEEAplA, University of the Azores, 9500-321 Ponta Delgada, Portugal)

  • Pedro Pimentel

    (School of Business and Economics and CEEAplA, University of the Azores, 9500-321 Ponta Delgada, Portugal)

  • Catarina Barbosa

    (School of Business and Economics, University of the Azores, 9500-321 Ponta Delgada, Portugal)

  • Rui Alexandre Castanho

    (Faculty of Applied Sciences, WSB University, 41-300 Dąbrowa Górnicza, Poland
    College of Business and Economics, University of Johannesburg, P.O. Box 524, Johannesburg 2092, South Africa)

Abstract

This paper examines the existence of the month-of-the-year effects in four different continents, namely Europe, Asia, America, and Oceania. Nine indexes were analyzed in order to verify differences between monthly returns from January 1990 to December 2013, followed by an examination of the January effect, Halloween effect, and the October effect, testing for statistical significance using an OLS linear regression in order to verify whether those effects offer consistent opportunities for investors. Investors with globally diversified portfolios benefit from the Halloween effect, with a 1.2% average monthly excess return in winter and spring, while the pre-dotcom-bubble period had a better performance than the post-dotcom-bubble period. In the global post-dotcom-bubble period, there is statistical evidence for 1.60% and 1% lower average monthly returns in January (the January effect) and in months other than October (the October effect), respectively, contradicting the literature. The dotcom bubble seems to be responsible for the January effect differing from what might otherwise have been expected in the later period. There is no consistent and clear impact on continental incidence. The Halloween effect is revealed to be a fruitful strategy in the FTSE, DAX, Dow Jones, BOVESPA, and N225 indexes taken one-by-one. The January effect excess average return was only statistically significative for the pre-dotcom-bubble period for globally diversified portfolios. This paper contributes to a wider global and comparable view upon month-of-the-year effect.

Suggested Citation

  • Gualter Couto & Pedro Pimentel & Catarina Barbosa & Rui Alexandre Castanho, 2021. "The Month-of-the-Year Effect in the European, American, Australian and Asian Markets," Economies, MDPI, vol. 9(4), pages 1-14, November.
  • Handle: RePEc:gam:jecomi:v:9:y:2021:i:4:p:168-:d:671519
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    References listed on IDEAS

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    1. Chang, Eric C. & Pinegar, J. Michael, 1986. "Return seasonality and tax-loss selling in the market for long-term government and corporate bonds," Journal of Financial Economics, Elsevier, vol. 17(2), pages 391-415, December.
    2. Roll, Richard, 1981. "A Possible Explanation of the Small Firm Effect," Journal of Finance, American Finance Association, vol. 36(4), pages 879-888, September.
    3. Mustafa Gultekin & Bulent Gultekin, "undated". "Stock Market Seasonality: Internal Evidence," Rodney L. White Center for Financial Research Working Papers 17-83, Wharton School Rodney L. White Center for Financial Research.
    4. Brown, Philip & Keim, Donald B. & Kleidon, Allan W. & Marsh, Terry A., 1983. "Stock return seasonalities and the tax-loss selling hypothesis : Analysis of the arguments and Australian evidence," Journal of Financial Economics, Elsevier, vol. 12(1), pages 105-127, June.
    5. Gultekin, Mustafa N. & Gultekin, N. Bulent, 1983. "Stock market seasonality : International Evidence," Journal of Financial Economics, Elsevier, vol. 12(4), pages 469-481, December.
    6. De Bondt, Werner F M & Thaler, Richard, 1985. "Does the Stock Market Overreact?," Journal of Finance, American Finance Association, vol. 40(3), pages 793-805, July.
    7. Edwin D. Maberly & Raylene M. Pierce, 2004. "Stock Market Efficiency Withstands Another Challenge: Solving the "Sell in May/Buy after Halloween" Puzzle," Econ Journal Watch, Econ Journal Watch, vol. 1(1), pages 29-46, April.
    8. Reinganum, Marc R & Shapiro, Alan C, 1987. "Taxes and Stock Return Seasonality: Evidence from the London Stock Exchange," The Journal of Business, University of Chicago Press, vol. 60(2), pages 281-295, April.
    9. Ogden, Joseph P, 1990. "Turn-of-Month Evaluations of Liquid Profits and Stock Returns: A Common Explanation for the Monthly and January Effects," Journal of Finance, American Finance Association, vol. 45(4), pages 1259-1272, September.
    10. Lucey, Brian M & Zhao, Shelly, 2008. "Halloween or January? Yet another puzzle," International Review of Financial Analysis, Elsevier, vol. 17(5), pages 1055-1069, December.
    11. Reinganum, Marc R., 1983. "The anomalous stock market behavior of small firms in January : Empirical tests for tax-loss selling effects," Journal of Financial Economics, Elsevier, vol. 12(1), pages 89-104, June.
    12. 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.
    13. Sidney B. Wachtel, 1942. "Certain Observations on Seasonal Movements in Stock Prices," The Journal of Business, University of Chicago Press, vol. 15, pages 184-184.
    14. De Bondt, Werner F M & Thaler, Richard H, 1987. "Further Evidence on Investor Overreaction and Stock Market Seasonalit y," Journal of Finance, American Finance Association, vol. 42(3), pages 557-581, July.
    15. Honghui Chen & Vijay Singal, 2004. "All Things Considered, Taxes Drive The January Effect," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 27(3), pages 351-372, September.
    16. Stilianos Fountas & Konstantinos N. Segredakis, 1999. "Emerging Stock Markets Return Seasonalities: the January Effect and the Tax-Loss Selling Hypothesis," Working Papers 37, National University of Ireland Galway, Department of Economics, revised 1999.
    17. 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.
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