Issues in Sports Forecasting
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- Stekler, H.O. & Sendor, David & Verlander, Richard, 2010. "Issues in sports forecasting," International Journal of Forecasting, Elsevier, vol. 26(3), pages 606-621, July.
References listed on IDEAS
- Stephen Shmanske, 2005. "Odds-setting efficiency in gambling markets: Evidence from the PGA TOUR," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 29(3), pages 391-402, September.
- repec:reg:rpubli:259 is not listed on IDEAS
- repec:bla:jfinan:v:53:y:1998:i:1:p:385-401 is not listed on IDEAS
- 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 D. Dana & Michael M. Knetter, 1994. "Learning and Efficiency in a Gambling Market," Management Science, INFORMS, vol. 40(10), pages 1317-1328, October.
- Sauer, Raymond D & Brajer, Vic & Ferris, Stephen P & Marr, M Wayne, 1988. "Hold Your Bets: Another Look at the Efficiency of the Gambling Market for National Football League Games: Comment," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 206-213, February.
- David Forrest & Ian Mchale, 2007. "Anyone for Tennis (Betting)?," The European Journal of Finance, Taylor & Francis Journals, vol. 13(8), pages 751-768.
- Turocy, Theodore L., 2005.
"Offensive performance, omitted variables, and the value of speed in baseball,"
Economics Letters, Elsevier, vol. 89(3), pages 283-286, December.
- Theodore L. Turocy, 2003. "Offensive Performance, Omitted Variables, and the Value of Speed in Baseball," Econometrics 0312005, University Library of Munich, Germany.
- Roger C. Vergin & Michael Scriabin, 1978. "Winning Strategies for Wagering on National Football League Games," Management Science, INFORMS, vol. 24(8), pages 809-818, April.
- Raymond Sauer, 2005. "The state of research on markets for sports betting and suggested future directions," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 29(3), pages 416-426, September.
- John M. Gandar & Richard A. Zuber & William H. Dare, 2000. "The Search for Informed Traders in the Totals Betting Market for National Basketball Association Games," Journal of Sports Economics, , vol. 1(2), pages 177-186, May.
- Leighton Vaughan Williams & David Paton, 1998. "Why are some favourite-longshot biases positive and others negative?," Applied Economics, Taylor & Francis Journals, vol. 30(11), pages 1505-1510.
- Raymond D. Sauer, 1998. "The Economics of Wagering Markets," Journal of Economic Literature, American Economic Association, vol. 36(4), pages 2021-2064, December.
- Rodney J. Paul & Andrew P. Weinbach, 2005. "Bettor Misperceptions in the NBA," Journal of Sports Economics, , vol. 6(4), pages 390-400, November.
- Brown, William O & Sauer, Raymond D, 1993. "Does the Basketball Market Believe in the Hot Hand? Comment," American Economic Review, American Economic Association, vol. 83(5), pages 1377-1386, December.
- I. Graham & H. Stott, 2008. "Predicting bookmaker odds and efficiency for UK football," Applied Economics, Taylor & Francis Journals, vol. 40(1), pages 99-109.
- 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.
- 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.
- Andersson, Patric & Edman, Jan & Ekman, Mattias, 2005. "Predicting the World Cup 2002 in soccer: Performance and confidence of experts and non-experts," International Journal of Forecasting, Elsevier, vol. 21(3), pages 565-576.
- J. M. Gandar & Richard Zuber & R. S. Johnson & W. Dare, 2002. "Re-examining the betting market on Major League Baseball games: is there a reverse favourite-longshot bias?," Applied Economics, Taylor & Francis Journals, vol. 34(10), pages 1309-1317.
- repec:bla:econom:v:52:y:1985:i:27:p:295-304 is not listed on IDEAS
- 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.
- Boulier, Bryan L. & Stekler, H. O., 1999. "Are sports seedings good predictors?: an evaluation," International Journal of Forecasting, Elsevier, vol. 15(1), pages 83-91, February.
- Roger Vergin, 2001. "Overreaction in the NFL point spread market," Applied Financial Economics, Taylor & Francis Journals, vol. 11(5), pages 497-509.
- Stefan Szymanski, 2010.
"The Economic Design of Sporting Contests,"
Palgrave Macmillan Books, in: The Comparative Economics of Sport, chapter 1, pages 1-78,
Palgrave Macmillan.
- Stefan Szymanski, 2003. "The Economic Design of Sporting Contests," Journal of Economic Literature, American Economic Association, vol. 41(4), pages 1137-1187, December.
- Vaughan Williams,Leighton (ed.), 2005. "Information Efficiency in Financial and Betting Markets," Cambridge Books, Cambridge University Press, number 9780521816038.
- Busche, Kelly & Hall, Christopher D, 1988. "An Exception to the Risk Preference Anomaly," The Journal of Business, University of Chicago Press, vol. 61(3), pages 337-346, July.
- David J. Berri, 1999. "Who is 'most valuable'? Measuring the player's production of wins in the National Basketball Association," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 20(8), pages 411-427.
- Steven Caudill & Norman Godwin, 2002. "Heterogeneous skewness in binary choice models: Predicting outcomes in the men's NCAA basketball tournament," Journal of Applied Statistics, Taylor & Francis Journals, vol. 29(7), pages 991-1001.
- Edward H. Kaplan & Stanley J. Garstka, 2001. "March Madness and the Office Pool," Management Science, INFORMS, vol. 47(3), pages 369-382, March.
- Zak, Thomas A & Huang, Cliff J & Siegfried, John J, 1979. "Production Efficiency: The Case of Professional Basketball," The Journal of Business, University of Chicago Press, vol. 52(3), pages 379-392, July.
- 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.
- Dare, William H. & MacDonald, S. Scott, 1996. "A generalized model for testing the home and favorite team advantage in point spread markets," Journal of Financial Economics, Elsevier, vol. 40(2), pages 295-318, February.
- 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.
- Bruce Bukiet & Elliotte Rusty Harold & José Luis Palacios, 1997. "A Markov Chain Approach to Baseball," Operations Research, INFORMS, vol. 45(1), pages 14-23, February.
- Ruth N. Bolton & Randall G. Chapman, 2008.
"Searching For Positive Returns At The Track: A Multinomial Logit Model For Handicapping Horse Races,"
World Scientific Book Chapters, in: Donald B Hausch & Victor SY Lo & William T Ziemba (ed.), Efficiency Of Racetrack Betting Markets, chapter 17, pages 151-171,
World Scientific Publishing Co. Pte. Ltd..
- Ruth N. Bolton & Randall G. Chapman, 1986. "Searching for Positive Returns at the Track: A Multinomial Logit Model for Handicapping Horse Races," Management Science, INFORMS, vol. 32(8), pages 1040-1060, August.
- Brown, William O & Sauer, Raymond D, 1993. "Fundamentals or Noise? Evidence from the Professional Basketball Betting Market," Journal of Finance, American Finance Association, vol. 48(4), pages 1193-1209, September.
- Fiona Carmichael & Dennis Thomas & Robert Ward, 2000. "Team performance: the case of English Premiership football," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 21(1), pages 31-45.
- William Dare & A. Steven Holland, 2004. "Efficiency in the NFL betting market: modifying and consolidating research methods," Applied Economics, Taylor & Francis Journals, vol. 36(1), pages 9-15.
- 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, September.
- B Buraimo & D Forrest & R Simmons, 2004. "Outcome uncertainty and the couch potato audience," Working Papers 542822, Lancaster University Management School, Economics Department.
- Lawrence Hadley & Marc Poitras & John Ruggiero & Scott Knowles, 2000. "Performance evaluation of National Football League teams," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 63-70.
- 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.
- Camerer, Colin F, 1989. "Does the Basketball Market Believe in the 'Hot Hand'?," American Economic Review, American Economic Association, vol. 79(5), pages 1257-1261, December.
- Vaughan Williams, Leighton, 1999. "Information Efficiency in Betting Markets: A Survey," Bulletin of Economic Research, Wiley Blackwell, vol. 51(1), pages 1-30, January.
- Gray, Philip K & Gray, Stephen F, 1997. "Testing Market Efficiency: Evidence from the NFL Sports Betting Market," Journal of Finance, American Finance Association, vol. 52(4), pages 1725-1737, September.
- Bill Woodland & Linda Woodland, 1999. "Expected utility, skewness, and the baseball betting market," Applied Economics, Taylor & Francis Journals, vol. 31(3), pages 337-345.
- John Ruggiero & Lawrence Hadley & Gerry Ruggiero & Scott Knowles, 1997. "A Note on the Pythagorean Theorem of Baseball Production," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 18(4), pages 335-342.
- M. J. Maher, 1982. "Modelling association football scores," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 36(3), pages 109-118, September.
- Ron Bird & Michael Mccrae, 2008.
"Tests Of The Efficiency Of Racetrack Betting Using Bookmaker Odds,"
World Scientific Book Chapters, in: Donald B Hausch & Victor SY Lo & William T Ziemba (ed.), Efficiency Of Racetrack Betting Markets, chapter 59, pages 593-603,
World Scientific Publishing Co. Pte. Ltd..
- Ron Bird & Michael McCrae, 1987. "Tests of the Efficiency of Racetrack Betting Using Bookmaker Odds," Management Science, INFORMS, vol. 33(12), pages 1552-1562, December.
- repec:bla:econom:v:56:y:1989:i:223:p:323-41 is not listed on IDEAS
- Snyder, Wayne W, 1978. "Horse Racing: Testing the Efficient Markets Model," Journal of Finance, American Finance Association, vol. 33(4), pages 1109-1118, September.
- Lyn D. Pankoff, 1968. "Market Efficiency and Football Betting," The Journal of Business, University of Chicago Press, vol. 41, pages 203-203.
- Rodney Paul & Andrew Weinbach, 2005. "Market efficiency and NCAA college basketball gambling," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 29(3), pages 403-408, September.
- Marshall Gramm & Douglas Owens, 2005. "Determinants of betting market efficiency," Applied Economics Letters, Taylor & Francis Journals, vol. 12(3), pages 181-185.
- 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.
- Caudill, Steven B., 2003. "Predicting discrete outcomes with the maximum score estimator: the case of the NCAA men's basketball tournament," International Journal of Forecasting, Elsevier, vol. 19(2), pages 313-317.
- Bruno Deschamps & Olivier Gergaud, 2007. "Efficiency in Betting Markets: Evidence from English Football," Journal of Prediction Markets, University of Buckingham Press, vol. 1(1), pages 61-73, February.
- William Dare & John Gandar & Richard Zuber & Robert Pavlik, 2005. "In search of the source of informed trader information in the college football betting market," Applied Financial Economics, Taylor & Francis Journals, vol. 15(3), pages 143-152.
- 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.
- Avery, Christopher & Chevalier, Judith, 1999. "Identifying Investor Sentiment from Price Paths: The Case of Football Betting," The Journal of Business, University of Chicago Press, vol. 72(4), pages 493-521, October.
- Zuber, Richard A & Gandar, John M & Bowers, Benny D, 1985. "Beating the Spread: Testing the Efficiency of the Gambling Market for National Football League Games," Journal of Political Economy, University of Chicago Press, vol. 93(4), pages 800-806, August.
- Goddard, John, 2005. "Regression models for forecasting goals and match results in association football," International Journal of Forecasting, Elsevier, vol. 21(2), pages 331-340.
- Golec, Joseph & Tamarkin, Maurry, 1991. "The degree of inefficiency in the football betting market : Statistical tests," Journal of Financial Economics, Elsevier, vol. 30(2), pages 311-323, December.
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More about this item
Keywords
sports forecasting; betting markets; efficiency; bias; sports models;All these keywords.
NEP fields
This paper has been announced in the following NEP Reports:- NEP-FOR-2010-03-20 (Forecasting)
- NEP-SPO-2010-03-20 (Sports and Economics)
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