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Optimal Betting Odds Against Insider Traders
Abstract
This paper examines the optimal pricing decision of a bookmaker facing a group of gamblers, some of whom have superior information to the bookmaker. The central result is that the normalized betting odds diverge systematically from the true possibilities of winning. Specifically, it is optimal for the bookmaker to follow a "square root rule" in which the ratio of posted prices is given by the square root of the ratio of winning probabilities. One consequence of this rule is that the betting odds understate the winning chances of the favorites and exaggerate the winning chances of the longshots. This is precisely the bias observed in several empirical investigations of betting markets. Copyright 1991 by Royal Economic Society.
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Items 101–138 of 138
Chance or Ability? The Efficiency of the Football Betting Market RevisitedPreprint
Größ, J., & Rebeggiani, L. (2018) · RePEc: Research Papers in Economics · doi:10.2139/ssrn.4318740 · Cited by 1
“For the favourite-longshot bias phenomena there exist a variety of explanations such as risk attitudes in form of risk-loving utility of gamblers (Ali (1977), Quandt (1986)) or insider trading introduced by Shin (1991, 1993).”
BackgroundCorrupt Bookmaking in a Fixed Odds Illegal Betting Market*
Bag, P. K., & Saha, B. (2017) · The Economic Journal · doi:10.1111/ecoj.12483 · Cited by 2
The distribution of information in speculative markets: a natural experiment
Brown, A. (2014) · European Journal of Finance · doi:10.1080/1351847x.2014.972423 · Cited by 2
“The market microstructure literature (e.g. Glosten and Milgrom (1985) for financial markets, and Shin (1991, 1992, 1993) for betting markets) would suggest that as the proportion of informed traders declines, ceteris paribus, the odds will increase.”
Favorite-Longshot Bias in Parimutuel Betting: an Evolutionary Explanation
Kajii, A., & Watanabe, T. (2014) · doi:10.1016/j.jebo.2017.05.001 · Cited by 3
“9 Thus, our model accommodates models of both heterogeneous risk attitudes, such as Weitzman (1965) and Quandt (1986), and heterogeneous beliefs, such as Ali (1977), Blough (1994), and Watanabe (1997).”
The influence of market ecology on market efficiency: Evidence from a speculative financial market
Sung, M., & JOHNSON, J. E. V. (2013) · The Journal of Gambling Business and Economics · doi:10.5750/jgbe.v1i3.519 · Cited by 5
EVIDENCE ON THE FAVORITE-LONGSHOT BIAS AS A SUPPLY-SIDE PHENOMENON
Metsola, M. (2012) · The Journal of Prediction Markets · doi:10.5750/jpm.v4i1.473 · Cited by 5
Ding, J. (2011) · SSRN Electronic Journal · doi:10.2139/ssrn.1926526 · Cited by 3
Place returns between the tote and bookmakers: empirical evidence of a market anomaly
Law, D., Peel, D. A., & Cain, M. (1999) · Applied Economics Letters · doi:10.1080/135048599352178 · Cited by 3
Fischer, K., & Haucap, J. (2020) · Social Science Research Network · doi:10.2139/ssrn.3692914 · Cited by 3
“Potential reasons for the longshot bias can be risk-hedging pricing strategies of betting providers against insider trading (Cain et al. 2003, Shin 1991, 1992, 1993), bettors’ overconfidence or image effects (Direr 2011, Golec & Tamarkin 1995, Williams 1999), bettors’ willingness to especially make…”
Market structure and prices in online betting markets: theory and evidence
Hegarty, T., & Whelan, K. T. (2025) · Oxford Economic Papers · doi:10.1093/oep/gpaf023 · Cited by 2
How Does Inside Information Affect Sports Betting Odds?
Whelan, K. T. (2025) · Scottish Journal of Political Economy · doi:10.1111/sjpe.70017 · Cited by 2
Market efficiency and the Greek fixed-odds betting market
Kalaitzakis, A., Lois, P., & Repousis, S. (2021) · EuroMed Journal of Business · doi:10.1108/emjb-01-2021-0014 · Cited by 3
Does Sentiment Harm Market Efficiency? An Empirical Analysis Using a Betting Exchange Setting
Merz, O., Flepp, R., & Franck, E. (2019) · Social Science Research Network · doi:10.2139/ssrn.3439438 · Cited by 2
“Second, Shin (1991, 1992, 1993) shows that bookmakers may deviate from the true prices to hedge themselves from bettors with superior information.”
BackgroundOn the efficiency of racetrack betting market: a new test for the favourite-longshot bias
Jeong, J., Kim, J. Y., & Ro, Y. J. (2019) · Applied Economics · doi:10.1080/00036846.2019.1624918 · Cited by 2
“There are studies on reverse FLB in other sports betting markets outside of horse tracks, including Swidler and Shaw (1995) and Schnytzer and Weinberg (2008).”
BackgroundMethodInfluentialWhich team will win the 2014 FIFA World Cup? A Bayesian approach for dummies
Hassan, A. R., & Jiménez, J. C. (2014) · doi:10.2139/ssrn.2396259 · Cited by 2
“In particular, we obtain the probability to be champion of each national team from different bookmakers using the Shin (1993) procedure, and given that just two teams achieve the final match, we standardize the probability between each possible final match combination, so we get 496 combinations for four bookmakers.”
MethodInfluentialSP Betting as a Self-Enforcing Implicit Cartel
Schnytzer, A., & Snir, A. (2013) · doi:10.5750/jgbe.v2i1.524 · Cited by 2
Peel, D. A., Law, D., & Cain, M. (2000) · Applied Economics · doi:10.1080/000368400421084 · Cited by 1
“In a series of papers Shin (1991, 1992, 1993) has provided an explanation for the favourite± longshot bias in betting markets where bookmakers set odds.”
BackgroundEstimates of the degree of insider trading in two disparate betting markets
Cain, M., LAW, D., & Peel, D. A. (1999) · Applied Economics Letters · doi:10.1080/135048599353618 · Cited by 2
Essays in Revealed Preference Theory and Behavioral Economics
Imai, T. (2016) · CaltechTHESIS (California Institute of Technology) · doi:10.7907/z9x63jt5 · Cited by 2
Prices, Probabilities, and Parlays: Systematic Bias in Sports Prediction Markets
Moshrefi, N. (2026) · IEEE Conference on Computational Intelligence for Financial Engineering & Economics · doi:10.1109/cifer67845.2026.11692409
“Proposed explanations include risk-loving preferences over longshots [13], bookmaker behavior in the presence of insider traders [14], and bookmaker risk aversion in competitive fixed-odds markets [16].”
Vandenbruaene, J., Ceuster, M. J. K. D., & Annaert, J. (2023) · Journal of Behavioral and Experimental Economics · doi:10.1016/j.socec.2023.102014 · Cited by 1
Betting Without BetaPreprint
Moskowitz, T. J., & Vasudevan, K. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3845505 · Cited by 1
Haugen, K. K. (2015) · doi:10.13164/ma.2015.08 · Cited by 1
The explanatory power of trading volume and insider activity in a pari-mutuel betting market
Bruce, A. C., JOHNSON, J. E. V., & Tang, L. (2010) · European Journal of Finance · doi:10.1080/1351847x.2010.481468 · Cited by 1
“Consequently, we develop the following CL function to test hypothesis 3, which includes an interaction term between Shin z and the betting volume on each horse in the race: In order to determine the appropriate function, f ( z ), to include in Equation (8) , we seek to confirm Shin's (1991) prediction of a linear rela…”
MethodThe profit-bias identity in sports betting: bookmaker profit as the public's prediction error
Dmochowski, J. (2026) · doi:10.48550/arxiv.2609.06739
“…to the classical account of bookmaker margins, in which both the margin and the favorite–longshot bias arise from the threat of privately informed insiders [Shin, 1991, 1992]; here no informed trader is required, only a marginal taste for favorites meeting a handicap that makes that taste costly.”
Separating insider and informed behavior: Evidence from a natural setting
Hegarty, T. (2024) · Southern Economic Journal · doi:10.1002/soej.12690
On Sticky Bookmaking as a Learning Device in Horse-Racing Betting Markets
Zhang, C., & Thijssen, J. (2021) · Journal of Economic Dynamics and Control · doi:10.1016/j.jedc.2022.104525
Construction of a Predictive Model for MLB Matches
Chang, C. (2021) · Forecasting · doi:10.3390/forecast3010007 · Cited by 2
“Shin [6,8,9] proposed Shin probabilities based on the assumption that bookmakers quote odds that maximize their expected profit in the presence of uninformed bettors and a known proportion of “insider” traders.”
BackgroundWilliams, L. V., & Reade, J. J. (2020) · Wiley eBooks · doi:10.1002/9781118445112.stat08137
Fair Odds for Noisy ProbabilitiesPreprint
Nash, U. W. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3292804
“Among explanations that involve private information, we find the idea (Shin, 1991) that bookmakers have customers with insider information whom they cannot distinguish from customers with only public information.”
BackgroundInfluentialINFORMATION AND ATTITUDES TO RISK AT THE TRACK
Schnytzer, A., & Westreich, S. (2013) · The Journal of Gambling Business and Economics · doi:10.5750/jgbe.v7i2.553
“In the case of fixed-odds bookmakers’ markets, a f/l bias is uniformly observed (see, for example, Shin, 1991, 1992 and 1993, Vaughan Williams and Paton 1997 and Schnytzer and Shilony, 2003 and 2005).”
BackgroundOptimal Mark-Up and Arbitrages in the Betting MarketPreprint
Montone, M. (2012) · SSRN Electronic Journal · doi:10.2139/ssrn.2199035
Systematic and varying biases in parallel state contingent gambling markets
Johnson, J. E. V., Peel, D. A., & Peirson, J. (2010) · Economics Letters · doi:10.1016/j.econlet.2010.08.015 · Cited by 1
Market Manipulation and the Favorite-Longshot BiasPreprint
Winter, S. (2007) · SSRN Electronic Journal · doi:10.2139/ssrn.964976
Cain, M., Law, D., & Peel, D. A. (2003) · Applied Economics Letters · doi:10.1080/13504850210161922
“An advantage of employing bookmaker odds is that Shin (1991, 1992, 1993) has developed a theoretical model of the manner in which bookmakers set odds that generates the favourite–longshot bias and enables computation of winning probabilities that correct for the favourite– longshot bias conditional…”
BackgroundMarket movers and tote and bookmakers returns: further empirical evidence on a market anomaly
Peel, D. A., Law, D., & Cain, M. (1999) · Applied Economics Letters · doi:10.1080/135048599352204
Does The Betting Industry Price Gender?Preprint
Barrutiabengoa, J. M., Corredor, P., & Muga, L. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3760527
The presence of favourites and biases in bookmakers' odds
Collier, W., & Peirson, J. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511493614.006
Metadata
- Authors
- Shin, H. S.
- Affiliations
- University of Oxford (GB)
- Corresponding author
- Shin, Hyun Song
- ORCID
- Shin, Hyun Song
- Venue
- The Economic Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 1991-09
- Volume
- 101
- Issue
- 408
- Pages
- 1179
- ISSN
- 0013-0133 (ISSN-L)
- OpenAlex
- W2085970970
- Cited by
- 166
- References
- 0
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 2 · 2023: 7 · 2022: 2 · 2021: 8 · 2020: 2 · 2019: 3 · 2018: 8 · 2017: 5 · 2016: 4 · 2015: 5 · 2014: 11 · 2013: 17 · 2012: 5
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Economic Journal (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Sports Analytics and Performance
- Social Sciences › Economics, Econometrics and Finance › Finance › Financial Markets and Investment Strategies
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Keywords
- betting odds, bookmaking, insider trading, information asymmetry, optimal pricing, square root rule, betting markets, favorites, market efficiency
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