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An Examination of the Super Bowl Stock Market Predictor

Author

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  • Krueger, Thomas M
  • Kennedy, William F

Abstract

Few prediction schemes have been more accurate, and at the same time more perplexing, than the Super Bowl Stock Market Predictor, which asserts that the league affiliation of the Super Bowl winner predicts stock market direction. In this study, the authors examine the record and statistical significance of this anomaly and demonstrate that an investor would have clearly outperformed the market by reacting to Super Bowl game outcomes. Copyright 1990 by American Finance Association.

Suggested Citation

  • Krueger, Thomas M & Kennedy, William F, 1990. "An Examination of the Super Bowl Stock Market Predictor," Journal of Finance, American Finance Association, vol. 45(2), pages 691-697, June.
    • Handle: RePEc:bla:jfinan:v:45:y:1990:i:2:p:691-97
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    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. The Super Bowl Stock Market “Predictor”
      by Brad Humphreys in International Journal of Sport Finance Blog on 2010-02-07 23:22:55

    Citations

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    Cited by:

    1. Coleman, Les, 2014. "Why finance theory fails to survive contact with the real world: A fund manager perspective," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 25(3), pages 226-236.
    2. Kofi A. Amoateng, 2019. "Did Tom Brady Save the US stock market? Market Anomaly or Market Efficiency?," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(5), pages 128-128, May.
    3. Pieper, Ute & Schiereck, Dirk & Weber, Martin, 1992. "Die Kaufempfehlungen des "Effecten-Spiegel": Eine empirische Untersuchung im Lichte der Effizienzthese des Kapitalmarktes," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 296, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    4. Huei-Fu Lu & Tien-Tze Chen, 2016. "The Impact of Match-Fixing Scandals on the Stock Returns of Parent Companies and Sponsors: Evidence from Chinese Professional Baseball League In Taiwan," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 6(4), pages 172-189, April.
    5. Jeffery Born & Yousra Acherqui, 2015. "A symmetric Super Bowl stock market predictor model," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 29(2), pages 115-124, May.
    6. Chun-Da Chen & Chih-Chun Chen, 2012. "Assessing the Effects of Sports Marketing on Stock Returns," Journal of Sports Economics, , vol. 13(2), pages 169-197, April.
    7. Mishra, Vinod & Smyth, Russell, 2010. "An examination of the impact of India's performance in one-day cricket internationals on the Indian stock market," Pacific-Basin Finance Journal, Elsevier, vol. 18(3), pages 319-334, June.
    8. Smith, Gary, 2019. "Be Wary of Black-Box Trading Algorithms," Economics Department, Working Paper Series 1007, Economics Department, Pomona College, revised 04 Jun 2019.
    9. Ross Dickens & Roger Shelor, 2003. "Pros win! Pros win!… or do they?: an analysis of the 'Dartboard' contest using stochastic dominance," Applied Financial Economics, Taylor & Francis Journals, vol. 13(8), pages 573-579.
    10. Lim, Terence & Lo, Andrew W. & Merton, Robert C. & Scholes, Myron S., 2006. "The Derivatives Sourcebook," Foundations and Trends(R) in Finance, now publishers, vol. 1(5–6), pages 365-572, April.

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