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Experimental Evidence on Forecaster (anti-) Herding in Sports Markets

Author

Listed:
  • Christoph Buehren

    (Clausthal University of Technology)

  • Tim Meyer

    (Helmut Schmidt University)

  • Christian Pierdzioch

    (Helmut Schmidt University)

Abstract

We experimentally analyzed whether (anti-)herding behavior of forecasters in sport-betting markets is influenced by the incentive structure of the market (winner-takes-all vs. equal payment of most accurate forecasts) and by personal traits of forecasters. We found evidence of anti-herding in forecasts of the German Bundesliga. Self-reported knowledge and, more surprisingly, winner-takes-all incentives reduced anti-herding. On average, forecasts were less accurate with stronger anti-herding. Winner-takes-all incentives and self-reported knowledge improved forecasts.

Suggested Citation

  • Christoph Buehren & Tim Meyer & Christian Pierdzioch, 2020. "Experimental Evidence on Forecaster (anti-) Herding in Sports Markets," MAGKS Papers on Economics 202038, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  • Handle: RePEc:mar:magkse:202038
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    References listed on IDEAS

    as
    1. Houser, Daniel & Schunk, Daniel & Winter, Joachim, 2010. "Distinguishing trust from risk: An anatomy of the investment game," Journal of Economic Behavior & Organization, Elsevier, vol. 74(1-2), pages 72-81, May.
    2. Menkhoff, Lukas & Schmidt, Ulrich & Brozynski, Torsten, 2006. "The impact of experience on risk taking, overconfidence, and herding of fund managers: Complementary survey evidence," European Economic Review, Elsevier, vol. 50(7), pages 1753-1766, October.
    3. Drehmann, Mathias & Oechssler, Jorg & Roider, Andreas, 2007. "Herding with and without payoff externalities -- an internet experiment," International Journal of Industrial Organization, Elsevier, vol. 25(2), pages 391-415, April.
    4. Richard Deaves & Jin Lei & Michael Schröder, 2019. "Forecaster Overconfidence and Market Survey Performance," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 20(2), pages 173-194, April.
    5. Dean S. Karlan, 2005. "Using Experimental Economics to Measure Social Capital and Predict Financial Decisions," American Economic Review, American Economic Association, vol. 95(5), pages 1688-1699, December.
    6. Fritsche, Ulrich & Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2015. "Forecasting the Brazilian real and the Mexican peso: Asymmetric loss, forecast rationality, and forecaster herding," International Journal of Forecasting, Elsevier, vol. 31(1), pages 130-139.
    7. Pierdzioch, Christian & Reid, Monique B. & Gupta, Rangan, 2016. "Inflation forecasts and forecaster herding: Evidence from South African survey data," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 62(C), pages 42-50.
    8. Dennis Coates & Brad R. Humphreys & Li Zhou, 2014. "Reference-Dependent Preferences, Loss Aversion, And Live Game Attendance," Economic Inquiry, Western Economic Association International, vol. 52(3), pages 959-973, July.
    9. Pierdzioch, Christian & Rülke, Jan-Christoph, 2012. "Forecasting stock prices: Do forecasters herd?," Economics Letters, Elsevier, vol. 116(3), pages 326-329.
    10. repec:pri:rpdevs:gamespaper.pdf is not listed on IDEAS
    11. Michael Naef & Jürgen Schupp, 2009. "Measuring Trust: Experiments and Surveys in Contrast and Combination," SOEPpapers on Multidisciplinary Panel Data Research 167, DIW Berlin, The German Socio-Economic Panel (SOEP).
    12. Scharfstein, David S & Stein, Jeremy C, 1990. "Herd Behavior and Investment," American Economic Review, American Economic Association, vol. 80(3), pages 465-479, June.
    13. Rülke, Jan-Christoph & Silgoner, Maria & Wörz, Julia, 2016. "Herding behavior of business cycle forecasters," International Journal of Forecasting, Elsevier, vol. 32(1), pages 23-33.
    14. David Laster & Paul Bennett & In Sun Geoum, 1999. "Rational Bias in Macroeconomic Forecasts," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(1), pages 293-318.
    15. Dixon, Mark J. & Pope, Peter F., 2004. "The value of statistical forecasts in the UK association football betting market," International Journal of Forecasting, Elsevier, vol. 20(4), pages 697-711.
    16. Pierdzioch, Christian & Rülke, Jan-Christoph, 2013. "Do inflation targets anchor inflation expectations?," Economic Modelling, Elsevier, vol. 35(C), pages 214-223.
    17. Werner B�nte, 2015. "Gender differences in competitive preferences: new cross-country empirical evidence," Applied Economics Letters, Taylor & Francis Journals, vol. 22(1), pages 71-75, January.
    18. Ann-Renée Blais & Elke U. Weber, 2006. "A Domain-Specific Risk-Taking (DOSPERT)Scale for Adult Populations," CIRANO Working Papers 2006s-24, CIRANO.
    19. Tim Pawlowski & Georgios Nalbantis & Dennis Coates, 2018. "Perceived Game Uncertainty, Suspense And The Demand For Sport," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 173-192, January.
    20. Forrest, David & Simmons, Robert, 2000. "Forecasting sport: the behaviour and performance of football tipsters," International Journal of Forecasting, Elsevier, vol. 16(3), pages 317-331.
    21. Forrest, David & Goddard, John & Simmons, Robert, 2005. "Odds-setters as forecasters: The case of English football," International Journal of Forecasting, Elsevier, vol. 21(3), pages 551-564.
    22. repec:cup:judgdm:v:1:y:2006:i::p:33-47 is not listed on IDEAS
    23. Christian Deutscher & Eugen Dimant & Brad R. Humphreys, 2017. "Match Fixing and Sports Betting in Football: Empirical Evidence from the German Bundesliga," Working Papers 17-01, Department of Economics, West Virginia University.
    24. Fildes, Robert, 2015. "Forecasters and rationality—A comment on Fritsche et al., Forecasting the Brazilian Real and Mexican Peso: Asymmetric loss, forecast rationality and forecaster herding," International Journal of Forecasting, Elsevier, vol. 31(1), pages 140-143.
    25. Marcel Naujoks & Kevin Aretz & Alexander Kerl & Andreas Walter, 2009. "Do German security analysts herd?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 23(1), pages 3-29, March.
    26. Christian Pierdzioch & Jan-Christoph Rülke & Georg Stadtmann, 2012. "A Note on Forecasting Emerging Market Exchange Rates: Evidence of Anti-herding," Review of International Economics, Wiley Blackwell, vol. 20(5), pages 974-984, November.
    27. Zwiebel, Jeffrey, 1995. "Corporate Conservatism and Relative Compensation," Journal of Political Economy, University of Chicago Press, vol. 103(1), pages 1-25, February.
    28. Milton Friedman & L. J. Savage, 1948. "The Utility Analysis of Choices Involving Risk," Journal of Political Economy, University of Chicago Press, vol. 56, pages 279-279.
    29. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2013. "Forecasting metal prices: Do forecasters herd?," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 150-158.
    30. Martin Spann & Bernd Skiera, 2009. "Sports forecasting: a comparison of the forecast accuracy of prediction markets, betting odds and tipsters," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(1), pages 55-72.
    31. Meub, Lukas & Proeger, Till & Bizer, Kilian & Spiwoks, Markus, 2015. "Strategic coordination in forecasting – An experimental study," Finance Research Letters, Elsevier, vol. 13(C), pages 155-162.
    32. Eckel, Catherine C. & Wilson, Rick K., 2004. "Is trust a risky decision?," Journal of Economic Behavior & Organization, Elsevier, vol. 55(4), pages 447-465, December.
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    Keywords

    (Anti-)Herding; Sports forecasting; Experiment; Survey data;
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