Whelan, Karl and Hegarty, Tadgh (2023): Forecasting Soccer Matches With Betting Odds: A Tale of Two Markets.
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Abstract
We compare the properties of betting market odds set in two distinct markets for a large sample of European soccer matches. We confirm inefficiencies in the traditional market for bets on a home win, an away win or a draw as found in previous studies such as Angelini and De Angelis (2019), in particular that there is a strong pattern of favourite-longshot bias. Conversely, we document how a betting market that has emerged in recent years, the Asian handicap market, can generate efficient forecasts for the same set of matches using a new methodology for mapping its odds into probabilities.
Item Type: | MPRA Paper |
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Original Title: | Forecasting Soccer Matches With Betting Odds: A Tale of Two Markets |
Language: | English |
Keywords: | Sports Forecasting, Betting Markets, Market Efficiency, Asian Handicap |
Subjects: | G - Financial Economics > G1 - General Financial Markets > G14 - Information and Market Efficiency ; Event Studies ; Insider Trading L - Industrial Organization > L8 - Industry Studies: Services L - Industrial Organization > L8 - Industry Studies: Services > L83 - Sports ; Gambling ; Restaurants ; Recreation ; Tourism |
Item ID: | 116925 |
Depositing User: | Karl Whelan |
Date Deposited: | 06 Apr 2023 07:47 |
Last Modified: | 06 Apr 2023 07:47 |
References: | Angelini, G. and De Angelis, L. (2019). Efficiency of online football betting markets. International Journal of Forecasting, 35(2):712–721. Berkowitz, J. P., Depken II, C. A., and Gandar, J. M. (2017). A favorite-longshot bias in fixed-odds betting markets: Evidence from college basketball and college football. The Quarterly Review of Economics and Finance, 63:233–239. Buchdahl, J. (2016). Squares & sharps, suckers & sharks: The science, psychology & philosophy of gambling. Oldcastle Books. Cain, M., Law, D., and Peel, D. (2000). The favourite-longshot bias and market efficiency in UK football betting. Scottish Journal of Political Economy, 47(1):25–36. Constantinou, A. C. (2021). Investigating the efficiency of the Asian handicap football betting market with ratings and bayesian networks. Journal of Sports Analytics, (Preprint):1–23. Davies, R. (2022). Revealed: how bookies clamp down on successful gamblers and exploit the rest. https://www.theguardian.com/society/2022/feb/19/stake-factoring-how-bookies-clamp-down-on-successful-gamblers. Gray, P. K. and Gray, S. F. (1997). Testing market efficiency: Evidence from the NFL sports betting market. The Journal of Finance, 52(4):1725–1737. Hegarty, T. (2021). Information and price efficiency in the absence of home crowd advantage. Applied Economics Letters, 28(21):1902–1907. Hegarty, T. and Whelan, K. (2022). The wisdom of no crowds: The reaction of betting markets to lockdown soccer games. University College Dublin Working Paper Series WP2022/13. Hegarty, T. and Whelan, K. (2023). Calculating the bookmaker’s margin: Why bets lose more on average than you are warned. University College Dublin Working Paper. Moscowitz, T. and Vasudevan, K. (2022). Betting without beta. Yale University Working paper. Pope, P. F. and Peel, D. A. (1989). Information, prices and efficiency in a fixed-odds betting market. Economica, pages 323–341. Snowberg, E. and Wolfers, J. (2008). Examining explanations of a market anomaly: Preferences or perceptions? In Handbook of sports and lottery markets, pages 103–136. Elsevier. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/116925 |