Cited by 166Sports Analytics and PerformanceFinancial Markets and Investment StrategiesDecision-Making and Behavioral Economics

Optimal Betting Odds Against Insider Traders

Shin, Hyun Song·1991·The Economic Journal

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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Crossref · 10.2307/2234434

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Authors
Shin, H. S.
Affiliations
University of Oxford (GB)
Corresponding author
Shin, Hyun Song
Venue
The Economic Journal
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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