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Sentiment, irrationality and market efficiency: The case of the 2010 FIFA World Cup

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  • Kaplanski, Guy
  • Levy, Haim

Abstract

Soccer games create sentiment, which affects stock prices. The World Cups before 2010 provided exploitable abnormal profit which was not exploited, presumably because it was unknown. Just before the 2010 World Cup, the exploitable effect has been discovered and widely cited by practitioners who even suggested recipe how to exploit it. Indeed, the information on the abnormal profit created in 2010 World Cup a price pattern which is different from those corresponding to the previous World Cups. Like other market anomalies, we expect that market efficiency will be restored and this new effect will vanish in the future.

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  • Kaplanski, Guy & Levy, Haim, 2014. "Sentiment, irrationality and market efficiency: The case of the 2010 FIFA World Cup," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 49(C), pages 35-43.
    • Handle: RePEc:eee:soceco:v:49:y:2014:i:c:p:35-43
    DOI: 10.1016/j.socec.2014.02.007
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    1. Shleifer, Andrei & Summers, Lawrence H, 1990. "The Noise Trader Approach to Finance," Journal of Economic Perspectives, American Economic Association, vol. 4(2), pages 19-33, Spring.
    2. David Hirshleifer & Tyler Shumway, 2003. "Good Day Sunshine: Stock Returns and the Weather," Journal of Finance, American Finance Association, vol. 58(3), pages 1009-1032, June.
    3. 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.
    4. 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.
    5. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    6. J. K. Ashton & B. Gerrard & R. Hudson, 2003. "Economic impact of national sporting success: evidence from the London stock exchange," Applied Economics Letters, Taylor & Francis Journals, vol. 10(12), pages 783-785.
    7. Berument, Hakan & Yucel, Eray M., 2005. "Long live Fenerbahce: The production boosting effects of football," Journal of Economic Psychology, Elsevier, vol. 26(6), pages 842-861, December.
    8. 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.
    9. Owen A. Lamont & Jeremy C. Stein, 2006. "Investor Sentiment and Corporate Finance: Micro and Macro," American Economic Review, American Economic Association, vol. 96(2), pages 147-151, May.
    10. Kavetsos, Georgios & Szymanski, Stefan, 2010. "National well-being and international sports events," Journal of Economic Psychology, Elsevier, vol. 31(2), pages 158-171, April.
    11. Saunders, Edward M, Jr, 1993. "Stock Prices and Wall Street Weather," American Economic Review, American Economic Association, vol. 83(5), pages 1337-1345, December.
    12. Kaplanski, Guy & Levy, Haim, 2010. "Sentiment and stock prices: The case of aviation disasters," Journal of Financial Economics, Elsevier, vol. 95(2), pages 174-201, February.
    13. Kaplanski, Guy & Levy, Haim, 2010. "Exploitable Predictable Irrationality: The FIFA World Cup Effect on the U.S. Stock Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(2), pages 535-553, April.
    14. Shleifer, Andrei & Vishny, Robert W, 1997. "The Limits of Arbitrage," Journal of Finance, American Finance Association, vol. 52(1), pages 35-55, March.
    15. Alex Edmans & Diego García & Øyvind Norli, 2007. "Sports Sentiment and Stock Returns," Journal of Finance, American Finance Association, vol. 62(4), pages 1967-1998, August.
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    Cited by:

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    2. Abudy, Menachem (Meni) & Mugerman, Yevgeny & Shust, Efrat, 2022. "The Winner Takes It All: Investor Sentiment and the Eurovision Song Contest," Journal of Banking & Finance, Elsevier, vol. 137(C).
    3. Drummond, Philip A., 2023. "Market quality surrounding anticipated distraction events: Evidence from the FIFA World Cup," Journal of Financial Markets, Elsevier, vol. 63(C).
    4. CURATOLA, Giuliano & DONADELLI, Michael & KIZYS, Renatas & RIEDEL, Max, 2016. "Investor Sentiment and Sectoral Stock Returns: Evidence from World Cup Games," Finance Research Letters, Elsevier, vol. 17(C), pages 267-274.
    5. Donadelli, Michael & Gufler, Ivan & Pellizzari, Paolo, 2020. "The macro and asset pricing implications of rising Italian uncertainty: Evidence from a novel news-based macroeconomic policy uncertainty index," Economics Letters, Elsevier, vol. 197(C).
    6. Demir, Ender & Ersan, Oguz & Popesko, Boris, 2022. "Are Fan Tokens Fan Tokens?," Finance Research Letters, Elsevier, vol. 47(PB).

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    More about this item

    Keywords

    Market efficiency; Investor sentiment; Flow of information; Behavioral finance; Abnormal returns;
    All these keywords.

    JEL classification:

    • A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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