Efficiency of online football betting markets
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DOI: 10.1016/j.ijforecast.2018.07.008
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- Alexis Direr, 2013.
"Are betting markets efficient? Evidence from European Football Championships,"
Applied Economics, Taylor & Francis Journals, vol. 45(3), pages 343-356, January.
- Alexis Direr, 2013. "Are betting markets efficient? Evidence from European Football Championships," Applied Economics, Taylor & Francis Journals, vol. 45(3), pages 343-356, January.
- Alexis Direr, 2011. "Are Betting Markets Efficient ? Evidence from European Football Championships," Post-Print hal-00734531, HAL.
- McHale, Ian & Morton, Alex, 2011. "A Bradley-Terry type model for forecasting tennis match results," International Journal of Forecasting, Elsevier, vol. 27(2), pages 619-630, April.
- Jacob A. Mincer & Victor Zarnowitz, 1969. "The Evaluation of Economic Forecasts," NBER Chapters, in: Economic Forecasts and Expectations: Analysis of Forecasting Behavior and Performance, pages 3-46, National Bureau of Economic Research, Inc.
- Strumbelj, E. & Sikonja, M. Robnik, 2010. "Online bookmakers' odds as forecasts: The case of European soccer leagues," International Journal of Forecasting, Elsevier, vol. 26(3), pages 482-488, July.
- 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.
- James Reade, 2014.
"Information And Predictability: Bookmakers, Prediction Markets And Tipsters As Forecasters,"
Journal of Prediction Markets, University of Buckingham Press, vol. 8(1), pages 43-76.
- James Reade, 2014. "Information and Predictability: Bookmakers, Prediction Markets and Tipsters as Forecasters," Economics Discussion Papers em-dp2014-05, Department of Economics, University of Reading.
- Linda M. Woodland & Bill M. Woodland, 2001. "Market Efficiency and Profitable Wagering in the National Hockey League: Can Bettors Score on Longshots?," Southern Economic Journal, John Wiley & Sons, vol. 67(4), pages 983-995, April.
- Egon Franck & Erwin Verbeek & Stephan Nüesch, 2013. "Inter-market Arbitrage in Betting," Economica, London School of Economics and Political Science, vol. 80(318), pages 300-325, April.
- Lessmann, Stefan & Sung, Ming-Chien & Johnson, Johnnie E.V., 2010. "Alternative methods of predicting competitive events: An application in horserace betting markets," International Journal of Forecasting, Elsevier, vol. 26(3), pages 518-536, July.
- Giovanni Angelini & Luca De Angelis, 2017.
"PARX model for football match predictions,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(7), pages 795-807, November.
- Giovanni Angelini & Luca De Angelis, 2016. "PARX model for football matches predictions," Quaderni di Dipartimento 2, Department of Statistics, University of Bologna.
- 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.
- 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.
- Jacob A. Mincer, 1969. "Economic Forecasts and Expectations: Analysis of Forecasting Behavior and Performance," NBER Books, National Bureau of Economic Research, Inc, number minc69-1.
- 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.
- 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.
- Boshnakov, Georgi & Kharrat, Tarak & McHale, Ian G., 2017. "A bivariate Weibull count model for forecasting association football scores," International Journal of Forecasting, Elsevier, vol. 33(2), pages 458-466.
- Ioannidis, C. & Peel, D.A., 2005. "Testing for market efficiency in gambling markets when the errors are non-normal and heteroskedastic an application of the wild bootstrap," Economics Letters, Elsevier, vol. 87(2), pages 221-226, May.
- Ryall, Richard & Bedford, Anthony, 2010. "An optimized ratings-based model for forecasting Australian Rules football," International Journal of Forecasting, Elsevier, vol. 26(3), pages 511-517, July.
- 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.
- McHale, Ian & Morton, Alex, 2011. "A Bradley-Terry type model for forecasting tennis match results," International Journal of Forecasting, Elsevier, vol. 27(2), pages 619-630.
- Vaughan Williams,Leighton (ed.), 2005. "Information Efficiency in Financial and Betting Markets," Cambridge Books, Cambridge University Press, number 9780521816038, September.
- 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.
- Siem Jan Koopman & Rutger Lit, 2015.
"A dynamic bivariate Poisson model for analysing and forecasting match results in the English Premier League,"
Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(1), pages 167-186, January.
- Siem Jan Koopman & Rutger Lit, 2012. "A Dynamic Bivariate Poisson Model for Analysing and Forecasting Match Results in the English Premier League," Tinbergen Institute Discussion Papers 12-099/III, Tinbergen Institute.
- 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.
- Egon Franck & Erwin Verbeek & Stephan Nüesch, 2008. "Prediction Accuracy of Different Market Structures – Bookmakers versus a Betting Exchange," Working Papers 0096, University of Zurich, Institute for Strategy and Business Economics (ISU), revised 2009.
- 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.
- Grant, Andrew & Johnstone, David, 2010. "Finding profitable forecast combinations using probability scoring rules," International Journal of Forecasting, Elsevier, vol. 26(3), pages 498-510, July.
- Hurley, William & McDonough, Lawrence, 1995. "A Note on the Hayek Hypothesis and the Favorite-Longshot Bias in Parimutuel Betting," American Economic Review, American Economic Association, vol. 85(4), pages 949-955, September.
- repec:bla:econom:v:56:y:1989:i:223:p:323-41 is not listed on IDEAS
- 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.
- 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.
- 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.
- 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.
- Tim Kuypers, 2000. "Information and efficiency: an empirical study of a fixed odds betting market," Applied Economics, Taylor & Francis Journals, vol. 32(11), pages 1353-1363.
- Nikolaos Vlastakis & George Dotsis & Raphael N. Markellos, 2009. "How efficient is the European football betting market? Evidence from arbitrage and trading strategies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(5), pages 426-444.
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Keywords
Market efficiency; Sports forecasting; Probability forecasting; Favourite–longshot bias; Betting markets;All these keywords.
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