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Citations for "The Economics of Wagering Markets"

by Raymond D. Sauer

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  1. Stefan Winter & Martin Kukuk, 2008. "Do horses like vodka and sponging? - On market manipulation and the favourite-longshot bias," Applied Economics, Taylor & Francis Journals, vol. 40(1), pages 75-87.
  2. Palomino, F.A. & Renneboog, L.D.R. & Zhang, C., 2005. "Stock Price Reactions to Short-Lived Public Information : The Case of Betting Odds," Discussion Paper 2005-62, Tilburg University, Center for Economic Research.
  3. Niko Suhonen, 2011. "Market Efficiency in Finnish Harness Horse Racing," Finnish Economic Papers, Finnish Economic Association, vol. 24(1), pages 55-63, Spring.
  4. Frederic Koessler & Anthony Ziegelmeyer, 2004. "Parimutuel Betting under Asymmetric Information," Papers on Strategic Interaction 2003-34, Max Planck Institute of Economics, Strategic Interaction Group.
  5. Igan, Deniz & Pinheiro, Marcelo & Smith, John, 2015. "A study of a market anomaly: “White Men Can’t Jump”, but would you bet on it?," Journal of Economic Behavior & Organization, Elsevier, vol. 113(C), pages 13-25.
  6. Jieyao Ding, 2011. "What Numbers to Choose for My Lottery Ticket? Behavior Anomalies in the Chinese Online Lottery Market," Working Paper Series of the Max Planck Institute for Research on Collective Goods 2011_23, Max Planck Institute for Research on Collective Goods.
  7. Martin Kukuk & Stefan Winter, 2008. "An Alternative Explanation of the Favorite-Longshot Bias," Journal of Gambling Business and Economics, University of Buckingham Press, vol. 2(2), pages 79-96, September.
  8. Boyle, Glenn & Guthrie, Graeme & Gorton, Luke, 2006. "My Kingdom for a Horse: Resolving Conflicts of Interest in Asset Management," Working Paper Series 3834, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
  9. Humphreys, Brad R. & Paul, Rodney J. & Weinbach, Andrew P., 2013. "Consumption benefits and gambling: Evidence from the NCAA basketball betting market," Journal of Economic Psychology, Elsevier, vol. 39(C), pages 376-386.
  10. Arne Feddersen & Brad Humphreys & Brian Soebbing, 2013. "Sentiment Bias in National Basketball Association Betting," Working Papers 13-03, Department of Economics, West Virginia University.
  11. Hwang, Joon Ho & Kim, Min-Su, 2015. "Misunderstanding of the binomial distribution, market inefficiency, and learning behavior: Evidence from an exotic sports betting market," European Journal of Operational Research, Elsevier, vol. 243(1), pages 333-344.
  12. Nyman, John A. & Welte, John W. & Dowd, Bryan E., 2008. "Something for nothing: A model of gambling behavior," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(6), pages 2492-2504, December.
  13. 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.
  14. Herman O. Stekler & David Sendor & Richard Verlander, 2009. "Issues in Sports Forecasting," Working Papers 2009-002, The George Washington University, Department of Economics, Research Program on Forecasting.
  15. Song, ChiUng & Boulier, Bryan L. & Stekler, Herman O., 2007. "The comparative accuracy of judgmental and model forecasts of American football games," International Journal of Forecasting, Elsevier, vol. 23(3), pages 405-413.
  16. Boyle, Glenn, 2007. "Do Financial Incentives Affect the Quality of Expert Performance? Evidence from the Racetrack," Working Paper Series 3956, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
  17. Humphreys, Brad, 2010. "Prices, Point Spreads and Profits: Evidence from the National Football League," Working Papers 2010-5, University of Alberta, Department of Economics.
  18. Igan, Deniz & Pinheiro, Marcelo & Smith, John, 2012. "Racial biases and market outcomes: "White men can't jump," but would you bet on it?," MPRA Paper 36069, University Library of Munich, Germany.
  19. 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.
  20. Ottaviani, Marco & Sørensen, Peter Norman, 2003. "Late Informed Betting and the Favourite-Longshot Bias," CEPR Discussion Papers 4092, C.E.P.R. Discussion Papers.
  21. Benjamin Waggoner & Daniel Wines & Brian P. Soebbing & Chad S. Seifried & Jean Michael Martinez, 2014. "“Hot Hand†in the National Basketball Association Point Spread Betting Market: A 34-Year Analysis," International Journal of Financial Studies, MDPI, Open Access Journal, vol. 2(4), pages 359, November.
  22. Raphael Flepp & Stephan Nüesch & Egon Franck, 2013. " Liquidity, Market Efficiency and the Influence of Noise Traders: Quasi-Experimental Evidence from the Betting Industry," Working Papers 341, University of Zurich, Department of Business Administration (IBW).
  23. Lessmann, Stefan & Sung, Ming-Chien & Johnson, Johnnie E.V., 2009. "Identifying winners of competitive events: A SVM-based classification model for horserace prediction," European Journal of Operational Research, Elsevier, vol. 196(2), pages 569-577, July.
  24. Gandar, John M. & Zuber, Richard A. & Lamb, Reinhold P., 2001. "The home field advantage revisited: a search for the bias in other sports betting markets," Journal of Economics and Business, Elsevier, vol. 53(4), pages 439-453.
  25. Coates, Dennis & Humphreys, Brad & Zhou, Li, 2012. "Outcome Uncertainty, Reference-Dependent Preferences and Live Game Attendance," Working Papers 2012-7, University of Alberta, Department of Economics.
  26. David Forrest & Robert Simmons & Babatunde Buraimo, 2005. "Outcome Uncertainty And The Couch Potato Audience," Scottish Journal of Political Economy, Scottish Economic Society, vol. 52(4), pages 641-661, 09.
  27. Jullien, Bruno & Salanié, Bernard, 2005. "Empirical Evidence on the Preferences of Racetrack Bettors," IDEI Working Papers 178, Institut d'Économie Industrielle (IDEI), Toulouse.
  28. Palomino, Frederic & Renneboog, Luc & Zhang, Chendi, 2009. "Information salience, investor sentiment, and stock returns: The case of British soccer betting," Journal of Corporate Finance, Elsevier, vol. 15(3), pages 368-387, June.
  29. Les Coleman, 2007. "Just How Serious is Insider Trading? An Evaluation using Thoroughbred Wagering Markets," Journal of Gambling Business and Economics, University of Buckingham Press, vol. 1(1), pages 31-55, February.
  30. García, Jaume & Pérez, Levi & Rodríguez, Plácido, 2016. "Forecasting football match results: Are the many smarter than the few?," MPRA Paper 69687, University Library of Munich, Germany.
  31. Lahvicka, Jiri, 2013. "The Fibonacci Strategy Revisited: Can You Really Make Money by Betting on Soccer Draws?," MPRA Paper 47649, University Library of Munich, Germany.
  32. Baker, Rose D. & McHale, Ian G., 2013. "Forecasting exact scores in National Football League games," International Journal of Forecasting, Elsevier, vol. 29(1), pages 122-130.
  33. Rodney J. Paul & Andrew P. Weinbach, 2014. "Market Efficiency and Behavioral Biases in the WNBA Betting Market," International Journal of Financial Studies, MDPI, Open Access Journal, vol. 2(2), pages 193, April.
  34. Erik Snowberg & Justin Wolfers, 2010. "Explaining the Favorite-Longshot Bias: Is it Risk-Love or Misperceptions?," NBER Working Papers 15923, National Bureau of Economic Research, Inc.
  35. 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, December.
  36. Hvattum, Lars Magnus & Arntzen, Halvard, 2010. "Using ELO ratings for match result prediction in association football," International Journal of Forecasting, Elsevier, vol. 26(3), pages 460-470, July.
  37. Appelbaum, Elie & Katz, Eliakim, 1981. "Market Constraints as a Rationale for the Friedman-Savage Utility Function," Journal of Political Economy, University of Chicago Press, vol. 89(4), pages 819-25, August.
  38. Colantonio Emiliano, 2013. "Betting Markets: Opportunities For Many?," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(2), pages 200-208, December.
  39. Diacon, Stephen, 2006. "Utility analysis, luxuries and risk," Economics Letters, Elsevier, vol. 91(3), pages 402-407, June.
  40. Raphael Flepp & Stephan Nüesch & Egon Franck, 2014. " The Liquidity Advantage of the Quote-Driven Market: Evidence from the Betting Industry," Working Papers 342, University of Zurich, Department of Business Administration (IBW).
  41. McAlvanah, Patrick & Moul, Charles C., 2013. "The house doesn’t always win: Evidence of anchoring among Australian bookies," Journal of Economic Behavior & Organization, Elsevier, vol. 90(C), pages 87-99.
  42. John Peirson, 2008. "Expert Analysis and Insider Information in Horse Race Betting: Regulating Informed Market Behaviour," Studies in Economics 0819, School of Economics, University of Kent.
  43. Lahvicka, Jiri, 2013. "What Causes the Favorite-Longshot Bias? Further Evidence from Tennis," MPRA Paper 47905, University Library of Munich, Germany.
  44. Joyce E. Berg & George R. Neumann & Thomas A. Rietz, 2009. "Searching for Google's Value: Using Prediction Markets to Forecast Market Capitalization Prior to an Initial Public Offering," Management Science, INFORMS, vol. 55(3), pages 348-361, March.
  45. Smith, Michael A. & Vaughan Williams, Leighton, 2010. "Forecasting horse race outcomes: New evidence on odds bias in UK betting markets," International Journal of Forecasting, Elsevier, vol. 26(3), pages 543-550, July.
  46. Baryla Jr., Edward A. & Borghesi, Richard A. & Dare, William H. & Dennis, Steven A., 2007. "Learning, price formation and the early season bias in the NBA," Finance Research Letters, Elsevier, vol. 4(3), pages 155-164, September.
  47. Koessler, Frédéric & Noussair, Charles & Ziegelmeyer, Anthony, 2012. "Information aggregation and belief elicitation in experimental parimutuel betting markets," Journal of Economic Behavior & Organization, Elsevier, vol. 83(2), pages 195-208.
  48. Paul, Rodney J. & Weinbach, Andrew P., 2012. "Competitive balance in the NFL?," Edition HWWI: Chapters, in: Zur Ökonomik von Spitzenleistungen im internationalen Sport, pages 73-84 Hamburg Institute of International Economics (HWWI).
  49. Rodney J. Paul & Andrew P. Weinbach & Mark Wilson, 2002. "Efficient Markets, Fair Bets, and Profitability in NBA Totals 1995-96 to 2001-02," Working Papers 02-10, Department of Economics, Appalachian State University.
  50. Zhang, C., 2006. "Ethics, investments and investor behavior," Other publications TiSEM 97c94039-7311-4f85-8047-2, Tilburg University, School of Economics and Management.
  51. Brown, Gregory W. & Hartzell, Jay C., 2001. "Market reaction to public information: The atypical case of the Boston Celtics," Journal of Financial Economics, Elsevier, vol. 60(2-3), pages 333-370, May.
  52. Michael A. Smith & David Paton & Leighton Vaughan-Williams, 2004. "Costs, biases and betting markets: new evidence," Working Papers 2004/5, Nottingham Trent University, Nottingham Business School, Economics Division.
  53. Humphreys, Brad & Paul, Rodney & Weinbach, Andrew, 2011. "CEO Turnover: More Evidence on the Role of Performance Expectations," Working Papers 2011-14, University of Alberta, Department of Economics.
  54. Helmut Dietl & Christian Weingärtner, 2012. "Betting scandals and attenuated property rights - How betting related match fixing can be prevented in future," Working Papers 0154, University of Zurich, Institute for Strategy and Business Economics (ISU).
  55. Bruce, A.C. & Johnson, J.E.V. & Peirson, J., 2012. "Recreational versus professional bettors: Performance differences and efficiency implications," Economics Letters, Elsevier, vol. 114(2), pages 172-174.
  56. John Peirson & Michael A. Smith, 2010. "Symposium Expert Analysis and Insider Information in Horse Race Betting: Regulating Informed Market Behavior," Southern Economic Journal, Southern Economic Association, vol. 76(4), pages 976-992, April.
  57. Asif, Muhammad & McHale, Ian G., 2016. "In-play forecasting of win probability in One-Day International cricket: A dynamic logistic regression model," International Journal of Forecasting, Elsevier, vol. 32(1), pages 34-43.
  58. M Cain & D Law & D Peel, 2005. "Cumulative prospect theory and gambling," Working Papers 566823, Lancaster University Management School, Economics Department.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.