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Prediction Accuracy of Different Market Structures – Bookmakers versus a Betting Exchange

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Author Info
Egon Franck () (Institute for Strategy and Business Economics, University of Zurich)
Erwin Verbeek () (Institute for Strategy and Business Economics, University of Zurich)
Stephan Nüesch () (Institute for Strategy and Business Economics, University of Zurich)

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Abstract

There is a well-established literature on separately testing the prediction power of different betting market settings. This paper provides an inter-market comparison of the forecasting accuracy between bookmakers and a major betting exchange. Employing a dataset covering all football matches played in the major leagues of the “Big Five” (England, France, Germany, Italy, Spain) during three seasons (5478 games in total), we find evidence that the betting exchange provides more accurate predictions of the same underlying event than bookmakers. A simple betting strategy of selecting bets for which bookmakers offer lower probabilities(higher odds) than the bet exchange generates above average and, in some cases, even positive returns.

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Publisher Info
Paper provided by University of Zurich, Institute for Strategy and Business Economics (ISU) in its series Working Papers with number 0096.

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Length: 25 pages
Date of creation: 2008
Date of revision: 2009
Handle: RePEc:iso:wpaper:0096

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Related research
Keywords: Nprediction accuracy; betting; bookmaker; betting exchange; probit regression;

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Michael A. Smith & David Paton & Leighton Vaughan Williams, 2006. "Market Efficiency in Person-to-Person Betting," Economica, London School of Economics and Political Science, vol. 73(292), pages 673-689, November. [Downloadable!] (restricted)
  2. Egon Franck & Erwin Verbeek & Stephan NŸesch, 2008. "The Sentiment Bias in English Soccer Betting," Working Papers 0089, University of Zurich, Institute for Strategy and Business Economics (ISU). [Downloadable!]
  3. Cain, Michael & Law, David & Peel, David, 2000. "The Favourite-Longshot Bias and Market Efficiency in UK Football Betting," Scottish Journal of Political Economy, Scottish Economic Society, vol. 47(1), pages 25-36, February. [Downloadable!] (restricted)
  4. Justin Wolfers & Eric Zitzewitz, 2004. "Prediction Markets," Journal of Economic Perspectives, American Economic Association, vol. 18(2), pages 107-126, Spring. [Downloadable!] (restricted)
    Other versions:
  5. Vaughan Williams, Leighton, 1999. "Information Efficiency in Betting Markets: A Survey," Bulletin of Economic Research, Blackwell Publishing, vol. 51(1), pages 1-30, January.
  6. Ioannis Asimakopoulos & John Goddard, 2004. "Forecasting football results and the efficiency of fixed-odds betting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(1), pages 51-66. [Downloadable!]
  7. Boulier, Bryan L. & Stekler, H. O., 2003. "Predicting the outcomes of National Football League games," International Journal of Forecasting, Elsevier, vol. 19(2), pages 257-270. [Downloadable!] (restricted)
  8. 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. [Downloadable!]
  9. 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. [Downloadable!] (restricted)
  10. Berg, Joyce E. & Nelson, Forrest D. & Rietz, Thomas A., 2008. "Prediction market accuracy in the long run," International Journal of Forecasting, Elsevier, vol. 24(2), pages 285-300. [Downloadable!] (restricted)
  11. 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. [Downloadable!] (restricted)
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