Prediction Accuracy of Different Market Structures – Bookmakers versus a Betting Exchange
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- Franck, Egon & Verbeek, Erwin & Nüesch, Stephan, 2010. "Prediction accuracy of different market structures -- bookmakers versus a betting exchange," International Journal of Forecasting, Elsevier, vol. 26(3), pages 448-459, July.
- Egon Franck & Erwin Verbeek & Stephan Nüesch, 2008. "Prediction Accuracy of Different Market Structures – Bookmakers versus a Betting Exchange," Working Papers 0025, University of Zurich, Center for Research in Sports Administration (CRSA), revised 2009.
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- 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.
- Martin Spann & Bernd Skiera, 2003. "Internet-Based Virtual Stock Markets for Business Forecasting," Management Science, INFORMS, vol. 49(10), pages 1310-1326, October.
- 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.
- Egon Franck & Erwin Verbeek & Stephan Nuesch, 2008. "Sentimental Preferences and the Organizational Regime of Betting Markets," Working Papers 0089, University of Zurich, Institute for Strategy and Business Economics (ISU), revised 2010.
- Karen Croxson & J. James Reade, 2014.
"Information and Efficiency: Goal Arrival in Soccer Betting,"
Economic Journal, Royal Economic Society, vol. 124(575), pages 62-91, March.
- Karen Croxson & J. James Reade, 2011. "Information and Efficiency: Goal Arrival in Soccer Betting," Discussion Papers 11-01, Department of Economics, University of Birmingham.
- Justin Wolfers & Eric Zitzewitz, 2004.
"Prediction Markets,"
Journal of Economic Perspectives, American Economic Association, vol. 18(2), pages 107-126, Spring.
- Wolfers, Justin & Zitzewitz, Eric, 2004. "Prediction Markets," Research Papers 1854, Stanford University, Graduate School of Business.
- Justin Wolfers & Eric Zitzewitz, 2004. "Prediction Markets," NBER Working Papers 10504, National Bureau of Economic Research, Inc.
- Justin Wolfers & Eric Zitzewitz, 2004. "Prediction Markets," Discussion Papers 03-025, Stanford Institute for Economic Policy Research.
- 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.
- David Forrest & Robert Simmons, 2008. "Sentiment in the betting market on Spanish football," Applied Economics, Taylor & Francis Journals, vol. 40(1), pages 119-126.
- 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.
- 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 1142-1161, December.
- Michael Cain & David Law & David Peel, 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.
- 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.
- 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.
- Vaughan Williams, Leighton, 1999. "Information Efficiency in Betting Markets: A Survey," Bulletin of Economic Research, Wiley Blackwell, vol. 51(1), pages 1-30, January.
- 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.
- 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.
- 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, April.
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More about this item
Keywords
Nprediction accuracy; betting; bookmaker; betting exchange; probit regression;All these keywords.
NEP fields
This paper has been announced in the following NEP Reports:- NEP-FOR-2009-01-17 (Forecasting)
- NEP-IFN-2009-01-17 (International Finance)
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