Authors: Schnytzer, Adi and Shilony, Yuval
Source: The Journal of Gambling Business and Economics, Volume 1, Number 1, February 2007 , pp. 13-29(17)
The purpose of this paper is to determine empirically whether or not there is systematic price rigging in three Australian betting markets: Horse, harness and greyhound racing. We present a simple model which shows the conditions under which it is optimal for insiders to rig prices by deliberate underperformance in some races. We then show how an empirical analysis of the relationship between win and place probabilities in conjunction with observed patterns of betting behavior, may be used to establish the presence of price rigging. It is shown that there is no significant systematic price rigging in these markets.
Author: Coleman, Les
Source: The Journal of Gambling Business and Economics, Volume 1, Number 1, February 2007, pp. 31-55
This paper quantifies the extent and changes in insider trading in the Melbourne racetrack betting market using a unique, long term dataset. Wagering markets share many of the characteristics of other financial markets, and are simple, with good data and a designated endpoint. Thus they are an excellent natural laboratory to study what is probably happening in qualitatively similar conventional markets. Results of this paper provide statistically significant support for hypotheses supporting the existence and increase in level of insider trading, and suggest that around two percent of betting is by insiders.
Authors: Sung, M.; Johnson, J.E.V.
Source: The Journal of Prediction Markets, Volume 1, Number 1, February 2007 , pp. 43-59(17)
This paper compares two approaches to predicting outcomes in a speculative market, the horserace betting market. In particular, the nature of one- and two-step conditional logit procedures involving a process for exploding the choice set are outlined, their strengths and weaknesses are compared and their relative effectiveness is evaluated by predicting winning probabilities for horse races at a UK racetrack. The models incorporate variables which are widely recognised as having predictive power and which should therefore be effectively discounted in market odds. Despite this handicap, both approaches produce probability estimates which can be used to earn positive returns, but the two-step approach yields substantially higher profits.