The Prediction Market for the Australian Football League
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References listed on IDEAS
- Sargent, Jonathan & Bedford, Anthony, 2010. "Improving Australian Football League player performance forecasts using optimized nonlinear smoothing," International Journal of Forecasting, Elsevier, vol. 26(3), pages 489-497, July.
- James D. Dana & Michael M. Knetter, 1994. "Learning and Efficiency in a Gambling Market," Management Science, INFORMS, vol. 40(10), pages 1317-1328, October.
- 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.
- 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.
- 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.
- 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.
More about this item
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ALL-2011-06-11 (All new papers)
- NEP-DCM-2011-06-11 (Discrete Choice Models)
- NEP-FOR-2011-06-11 (Forecasting)
- NEP-SPO-2011-06-11 (Sports & Economics)
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