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Halloween Effect in developed stock markets: A historical perspective

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  • Plastun, Alex
  • Sibande, Xolani
  • Gupta, Rangan
  • Wohar, Mark E.

Abstract

In this paper, we conduct a comprehensive investigation of the Halloween effect evolution in the US stock market over its entire history as well as in the other developed markets (UK, French, Canadian, German and Japanese). We employ various statistical techniques (average analysis, Student's t-test, ANOVA, and the Mann-Whitney test) and the trading simulation approach to analyse the evolution of the Halloween effect. The results suggest that in the US stock market and other developed markets, the Halloween effect only became detectable in the middle of the 20th century. Recently it is still present in the US stock market and most of the other developed markets, which provides opportunities to build a trading strategy which can beat the market. Therefore, it can be concluded that, in the main, the Halloween effect in the US market and other developed markets is consistent with the Adaptive Market Hypothesis.

Suggested Citation

  • Plastun, Alex & Sibande, Xolani & Gupta, Rangan & Wohar, Mark E., 2020. "Halloween Effect in developed stock markets: A historical perspective," International Economics, Elsevier, vol. 161(C), pages 130-138.
    • Handle: RePEc:eee:inteco:v:161:y:2020:i:c:p:130-138
    DOI: 10.1016/j.inteco.2019.11.009
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    1. Cao, Melanie & Wei, Jason, 2005. "Stock market returns: A note on temperature anomaly," Journal of Banking & Finance, Elsevier, vol. 29(6), pages 1559-1573, June.
    2. Edwin Maberly & Raylene Pierce, 2003. "The Halloween Effect and Japanese Equity Prices: Myth or Exploitable Anomaly," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 10(4), pages 319-334, December.
    3. Schwert, G. William, 2003. "Anomalies and market efficiency," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 15, pages 939-974, Elsevier.
    4. Mark J. Kamstra & Lisa A. Kramer & Maurice D. Levi, 2003. "Winter Blues: A SAD Stock Market Cycle," American Economic Review, American Economic Association, vol. 93(1), pages 324-343, March.
    5. Tomasz Schabek & Henrique Castro, 2017. "“Sell not only in May”. Seasonal Effects on Stock Markets," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 17, pages 5-18.
    6. 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.
    7. Jensen, Michael C., 1978. "Some anomalous evidence regarding market efficiency," Journal of Financial Economics, Elsevier, vol. 6(2-3), pages 95-101.
    8. Peter Arendas & Viera Malacka & Maria Schwarzova, 2018. "A Closer Look at the Halloween Effect: The Case of the Dow Jones Industrial Average," IJFS, MDPI, vol. 6(2), pages 1-12, April.
    9. Dichtl, Hubert & Drobetz, Wolfgang, 2014. "Are stock markets really so inefficient? The case of the “Halloween Indicator”," Finance Research Letters, Elsevier, vol. 11(2), pages 112-121.
    10. Dichtl, Hubert & Drobetz, Wolfgang, 2015. "Sell in May and Go Away: Still good advice for investors?," International Review of Financial Analysis, Elsevier, vol. 38(C), pages 29-43.
    11. Kelly, Patrick J. & Meschke, Felix, 2010. "Sentiment and stock returns: The SAD anomaly revisited," Journal of Banking & Finance, Elsevier, vol. 34(6), pages 1308-1326, June.
    12. Haggard, K. Stephen & Witte, H. Douglas, 2010. "The Halloween effect: Trick or treat?," International Review of Financial Analysis, Elsevier, vol. 19(5), pages 379-387, December.
    13. Jacobsen, Ben & Marquering, Wessel, 2008. "Is it the weather?," Journal of Banking & Finance, Elsevier, vol. 32(4), pages 526-540, April.
    14. Gil-Alana, Luis A. & Cunado, Juncal & de Gracia, Fernando Perez, 2013. "Salient features of dependence in daily US stock market indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(15), pages 3198-3212.
    15. Ben Jacobsen & Nuttawat Visaltanachoti, 2009. "The Halloween Effect in U.S. Sectors," The Financial Review, Eastern Finance Association, vol. 44(3), pages 437-459, August.
    16. 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.
    17. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    18. Guo, Biao & Luo, Xingguo & Zhang, Ziding, 2014. "Sell in May and Go Away: Evidence from China," Finance Research Letters, Elsevier, vol. 11(4), pages 362-368.
    19. 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.
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    More about this item

    Keywords

    Calendar anomalies; Halloween effect; Stock market; Efficient market hypothesis;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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