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Prediction accuracy of different market structures -- bookmakers versus a betting exchange

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Author Info

  • Franck, Egon
  • Verbeek, Erwin
  • Nüesch, Stephan

Abstract

There is a well-established body of literature on separately testing the prediction power of different betting market settings. This paper provides an inter-market comparison of the forecasting accuracy of 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 a given event than bookmakers. A simple betting strategy of selecting bets for which bookmakers offer lower probabilities (higher odds) than the betting exchange generates above average, and in some cases even positive returns.

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Bibliographic Info

Article provided by Elsevier in its journal International Journal of Forecasting.

Volume (Year): 26 (2010)
Issue (Month): 3 (July)
Pages: 448-459

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Handle: RePEc:eee:intfor:v:26:y::i:3:p:448-459

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Web page: http://www.elsevier.com/locate/ijforecast

Related research

Keywords: Prediction accuracy Betting Bookmaker Bet exchange Probit regression;

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References

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  1. 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.
  2. 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.
  3. Justin Wolfers & Eric Zitzewitz, 2004. "Prediction Markets," Discussion Papers 03-025, Stanford Institute for Economic Policy Research.
  4. Vaughan Williams, Leighton, 1999. "Information Efficiency in Betting Markets: A Survey," Bulletin of Economic Research, Wiley Blackwell, vol. 51(1), pages 1-30, January.
  5. 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.
  6. repec:reg:rpubli:259 is not listed on IDEAS
  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.
  8. repec:reg:wpaper:259 is not listed on IDEAS
  9. David Forrest & Robert Simmons, 2008. "Sentiment in the betting market on Spanish football," Applied Economics, Taylor & Francis Journals, vol. 40(1), pages 119-126.
  10. Karen Croxson & J. James Reade, 2011. "Information and Efficiency: Goal Arrival in Soccer Betting," Discussion Papers 11-01, Department of Economics, University of Birmingham.
  11. Egon Franck & Erwin Verbeek & Stephan Nüesch, 2011. "Sentimental Preferences and the Organizational Regime of Betting Markets," Southern Economic Journal, Southern Economic Association, vol. 78(2), pages 502-518, October.
  12. Martin Spann & Bernd Skiera, 2003. "Internet-Based Virtual Stock Markets for Business Forecasting," Management Science, INFORMS, vol. 49(10), pages 1310-1326, October.
  13. Steven D. Levitt, 2004. "Why are gambling markets organised so differently from financial markets?," Economic Journal, Royal Economic Society, vol. 114(495), pages 223-246, 04.
  14. 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.
  15. 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.
  16. Forsythe, Robert & Forrest Nelson & George R. Neumann & Jack Wright, 1992. "Anatomy of an Experimental Political Stock Market," American Economic Review, American Economic Association, vol. 82(5), pages 1142-61, December.
  17. Dobson,Stephen & Goddard,John, 2011. "The Economics of Football," Cambridge Books, Cambridge University Press, number 9780521517140.
  18. 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.
  19. 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.
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Citations

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Cited by:
  1. Karen Croxson & J. James Reade, 2011. "Exchange vs Dealers: A High-Frequency Analysis of In-Play Betting Prices," Discussion Papers 11-19, Department of Economics, University of Birmingham.
  2. St'ephane Dupraz & Daniel Muller & Lionel Page, 2013. "Tactical Voting and Voter's Sophistication in British Elections," QuBE Working Papers 011, QUT Business School.
  3. Štrumbelj, Erik & Vračar, Petar, 2012. "Simulating a basketball match with a homogeneous Markov model and forecasting the outcome," International Journal of Forecasting, Elsevier, vol. 28(2), pages 532-542.
  4. Babatunde Buraimo & David Peel & Rob Simmons, 2013. "Systematic Positive Expected Returns in the UK Fixed Odds Betting Market: An Analysis of the Fink Tank Predictions," International Journal of Financial Studies, MDPI, Open Access Journal, vol. 1(4), pages 168-182, December.
  5. Raphael Flepp & Stephan Nüesch & Egon Franck, 2013. " The Liquidity Advantage of Quote-driven Markets: Evidence from the Betting Industry," Working Papers 342, University of Zurich, Department of Business Administration (IBW).

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