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Betting market inefficiencies are short-lived in German professional football

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  • Christian Deutscher
  • Bernd Frick
  • Marius Ötting

Abstract

In this article, we argue that potential inefficiencies on betting markets are more likely to exist at the very beginning of a season, when the available information on the teams’ playing strength is difficult to evaluate. This lack of reliable information should be particularly large in the case of recently promoted teams that have typically undergone major changes in the composition of their roster following their promotion. Without any information on the latter teams’ potential performance, they are particularly difficult to evaluate, which may eventually lead to inefficiencies and positive returns on investment in the betting market. We analyse odds from German first division Bundesliga soccer for the seasons from 2002/03 to 2015/16 to find betting market inefficiencies at the start of the season. As expected, betting on recently promoted team wins generates temporarily positive returns, especially for away games. These results suggest bookmakers to underestimate promoted teams’ ability to familiarize with the conditions in the new league, such as having to play in front of larger, often hostile crowds.

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  • Christian Deutscher & Bernd Frick & Marius Ötting, 2018. "Betting market inefficiencies are short-lived in German professional football," Applied Economics, Taylor & Francis Journals, vol. 50(30), pages 3240-3246, June.
    • Handle: RePEc:taf:applec:v:50:y:2018:i:30:p:3240-3246
    DOI: 10.1080/00036846.2017.1418082
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    as
    1. Justin L. Davis & Kevin Krieger, 2017. "Preseason bias in the NFL and NBA betting markets," Applied Economics, Taylor & Francis Journals, vol. 49(12), pages 1204-1212, March.
    2. Egon Franck & Erwin Verbeek & Stephan Nüesch, 2011. "Sentimental Preferences and the Organizational Regime of Betting Markets," Southern Economic Journal, John Wiley & Sons, vol. 78(2), pages 502-518, October.
    3. Woodland, Linda M & Woodland, Bill M, 1994. "Market Efficiency and the Favorite-Longshot Bias: The Baseball Betting Market," Journal of Finance, American Finance Association, vol. 49(1), pages 269-279, March.
    4. J. M. Gandar & Richard Zuber & R. S. Johnson & W. Dare, 2002. "Re-examining the betting market on Major League Baseball games: is there a reverse favourite-longshot bias?," Applied Economics, Taylor & Francis Journals, vol. 34(10), pages 1309-1317.
    5. David Forrest & Robert Simmons, 2008. "Sentiment in the betting market on Spanish football," Applied Economics, Taylor & Francis Journals, vol. 40(1), pages 119-126.
    6. R. Borghesi, 2007. "The late-season bias: explaining the NFL's home-underdog effect," Applied Economics, Taylor & Francis Journals, vol. 39(15), pages 1889-1903.
    7. Linda M. Woodland & Bill M. Woodland, 2003. "The Reverse Favourite–longshot Bias and Market Efficiency in Major League Baseball: An Update," Bulletin of Economic Research, Wiley Blackwell, vol. 55(2), pages 113-123, April.
    8. Arne Feddersen & Brad R. Humphreys & Brian P. Soebbing, 2017. "Sentiment Bias And Asset Prices: Evidence From Sports Betting Markets And Social Media," Economic Inquiry, Western Economic Association International, vol. 55(2), pages 1119-1129, April.
    9. Egon Franck & Erwin Verbeek & Stephan Nüesch, 2011. "Sentimental Preferences and the Organizational Regime of Betting Markets," Southern Economic Journal, John Wiley & Sons, vol. 78(2), pages 502-518, October.
    10. Babatunde Buraimo & David Forrest & Robert Simmons, 2010. "The 12th man?: refereeing bias in English and German soccer," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(2), pages 431-449, April.
    11. 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.
    12. Babatunde Buraimo & Rob Simmons & Marek Maciaszczyk, 2012. "Favoritism And Referee Bias In European Soccer: Evidence From The Spanish League And The Uefa Champions League," Contemporary Economic Policy, Western Economic Association International, vol. 30(3), pages 329-343, July.
    13. Michael Cain & David Law & David Peel, 2003. "The Favourite‐Longshot Bias, Bookmaker Margins and Insider Trading in a Variety of Betting Markets," Bulletin of Economic Research, Wiley Blackwell, vol. 55(3), pages 263-273, July.
    14. Thaler, Richard H & Ziemba, William T, 1988. "Parimutuel Betting Markets: Racetracks and Lotteries," Journal of Economic Perspectives, American Economic Association, vol. 2(2), pages 161-174, Spring.
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    2. Luca De Angelis & J. James Reade, 2022. "Home advantage and mispricing in indoor sports’ ghost games: the case of European basketball," Economics Discussion Papers em-dp2022-01, Department of Economics, University of Reading.
    3. Kai Fischer & Justus Haucap, 2020. "Betting Market Efficiency in the Presence of Unfamiliar Shocks: The Case of Ghost Games during the Covid-19 Pandemic," CESifo Working Paper Series 8526, CESifo.
    4. Singleton, Carl & Reade, J. James & Brown, Alasdair, 2020. "Going with your gut: The (In)accuracy of forecast revisions in a football score prediction game," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 89(C).
    5. Kai Fischer & Justus Haucap, 2022. "Home advantage in professional soccer and betting market efficiency: The role of spectator crowds," Kyklos, Wiley Blackwell, vol. 75(2), pages 294-316, May.
    6. David Winkelmann & Christian Deutscher & Marius Ötting, 2021. "Bookmakers’ mispricing of the disappeared home advantage in the German Bundesliga after the COVID-19 break," Applied Economics, Taylor & Francis Journals, vol. 53(26), pages 3054-3064, June.
    7. Christian Deutscher & David Winkelmann & Marius Otting, 2020. "Bookmakers' mispricing of the disappeared home advantage in the German Bundesliga after the COVID-19 break," Papers 2008.05417, arXiv.org, revised Aug 2020.
    8. Ulf Rinne & Hendrik Sonnabend, 2022. "Female workers, male managers: Gender, leadership, and risk‐taking," Southern Economic Journal, John Wiley & Sons, vol. 88(3), pages 906-930, January.
    9. Angelini, Giovanni & De Angelis, Luca & Singleton, Carl, 2022. "Informational efficiency and behaviour within in-play prediction markets," International Journal of Forecasting, Elsevier, vol. 38(1), pages 282-299.
    10. Michels, Rouven & Ötting, Marius & Langrock, Roland, 2023. "Bettors’ reaction to match dynamics: Evidence from in-game betting," European Journal of Operational Research, Elsevier, vol. 310(3), pages 1118-1127.
    11. Pascal Flurin Meier & Raphael Flepp & Egon Franck, 2021. "Are sports betting markets semistrong efficient? Evidence from the COVID-19 pandemic," Working Papers 387, University of Zurich, Department of Business Administration (IBW).
    12. Brian P. Soebbing & Pamela Wicker & Daniel Weimar & Johannes Orlowski, 2021. "How do Bookmakers Interpret Running Performance of Teams in Previous Games? Evidence From the Football Bundesliga," Journal of Sports Economics, , vol. 22(3), pages 231-250, April.
    13. David Winkelmann & Marius Ötting & Christian Deutscher & Tomasz Makarewicz, 2024. "Are Betting Markets Inefficient? Evidence From Simulations and Real Data," Journal of Sports Economics, , vol. 25(1), pages 54-97, January.
    14. Christian Deutscher & Marco Sahm & Sandra Schneemann & Hendrik Sonnabend, 2019. "Strategic Investment Decisions in Multi-stage Contests with Heterogeneous Players," CESifo Working Paper Series 7474, CESifo.
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    17. Luca De Angelis & J. James Reade, 2023. "Home advantage and mispricing in indoor sports’ ghost games: the case of European basketball," Annals of Operations Research, Springer, vol. 325(1), pages 391-418, June.

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