betting on underlays will result in certain losses.1 There have been studies on the impact of late money on parimutuel betting with the conventional wisdom and evidence indicating that late money improves market efficiency. For example, Asch, Malkiel and Quandt (1982), Crafts (1985) and Gramm
The central feature of a spread betting market is the setting by a market-maker (the bookmaker) of a bid-offer spread for the commodity in question. For example, in a cricket game between England and Australia, the bookmaker might set spread for runs in England’s first innings of 240-250.
betting interest in a race. In an efficient betting market with perfect information, the expected return on any unit bet would equal one minus the track take. This implies that the probability of a horse winning a race would be equivalent to the percentage of money bet on that horse. Previous studies have shown that racetrack betting markets ...
This model is then used to test market efficiency in the Betfair ‘in-play’ market for a large sample of ODI matches. We find strong evidence of overreaction in the first innings. A trading strategy of betting on the batting team after the fall of a wicket produces a significant profit of 20%.
What is an efficient market? An efficient market is one where the market price is an unbiased estimate of the true value of the investment. Implicit in this derivation are several key concepts - (a) Contrary to popular view, market efficiency does not require that the market price be equal to true value at every point in time.
Research into the efficiency of prices set by bookmakers in betting markets has provided a small but increasing contribution to the financial economics literature on market efficiency. Much of this literature focuses on racetrack betting, but betting on team sports match results has also attracted attention.
Information, Prices and Efficiency in a Fixed-Odds Betting Market By PETER F. POPE and DAVID A. PEEL Strathclyde Business School, Glasgow, and University College of Wales, Aberystwyth Final version received 6 June 1988. Accepted 19 December 1988. This paper examines the efficiency of the Association Football betting market in the UK.
This article examines the efficiency of the National Football League (NFL) betting market. The standard ordinary least squares (OLS) regression methodology is replaced by a probit model. This circumvents potential econometric problems, and allows us to implement more sophisticated betting strategies where bets are placed only when there is a ...
betting market by studying all games played in the English Premier League, the world’s most commercially successful soccer league, from the 2000/01 to the 2014/15 season. I tested the efficiency of the online betting market for the English Premier League by examining the odds on
David Forrest, Ian McHale, Longshot bias: insights from the betting market on men's professional tennis, Information Efficiency in Financial and Betting Markets, 10.1017/CBO9780511493614, (215-230), (2009).