2009
DOI: 10.1111/j.1468-0335.2008.00716.x
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Revealing Weak‐Form Inefficiency in a Market for State Contingent Claims: The Importance of Market Ecology, Modelling Procedures and Investment Strategies

Abstract: This paper examines the degree to which current prices discount historical prices in a market for state contingent claims. Conditional logit analysis is employed to predict winning probabilities, based on market prices in a betting market. These are used, together with various wagering strategies to yield substantial abnormal returns. Consequently, in contrast to the existing literature, the results suggest that the market is not weak form efficient. The disparity with previous efficiency studies highlights th… Show more

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Cited by 17 publications
(9 citation statements)
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“…This paper contributes to the recent discussion on how market structure affects information efficiency in betting markets (see Bruce and Johnson 2005;Sung and Johnson 2010;Franck et al 2011). Consistent with previous empirical work (e.g.…”
Section: Discussionsupporting
confidence: 86%
“…This paper contributes to the recent discussion on how market structure affects information efficiency in betting markets (see Bruce and Johnson 2005;Sung and Johnson 2010;Franck et al 2011). Consistent with previous empirical work (e.g.…”
Section: Discussionsupporting
confidence: 86%
“…A standard staking system in the betting literature is to employ the variable Kelly stake as a proportion of wealth as a solution to this problem. See Sung and Johnson [20,21] for applications of Kelly investment strategies to the horse race betting market.…”
Section: Expected Returns From the Fink Tank Modelmentioning
confidence: 99%
“…This approach maximizes the asymptotic rate of growth for wealth, with zero probability of ruin if arbitrarily small bets are permitted; the standard deviation remains proportional to total wealth and thus grows exponentially. A Kelly strategy makes greater use of the information contained in the model probabilities than alternative betting strategies (e.g., equally weighted bets on each selected horse) as the most ‘attractive’ wagers are weighted most heavily: when the probability of winning is greater (for the same expected return) and when the expected return is greater (for the same winning probability), the bet size is larger (Johnson et al, 2006; and Sung and Johnson, 2010). We apply the Kelly strategy ‘without’ and ‘with reinvestment’: the former assumes that the maximum funds available are equal at the time of each bet (e.g., $1), while the latter assumes that we start with an initial level of wealth ($1) and the total won/lost to date is added/subtracted in order to determine the maximum funds available at the time of each bet.…”
Section: Methodsmentioning
confidence: 99%
“…Numerous researchers highlight the advantages of horserace betting market data for shedding light on investors’ behavior in securities markets (e.g., Schnytzer and Shilony, 1995; Law and Peel, 2002; Levitt, 2004; Sung and Johnson, 2010; and Bruce et al, 2009).…”
Section: Horserace Betting Markets and Hypothesesmentioning
confidence: 99%