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Informational efficiency and behaviour within in-play prediction markets

Angelini, G., De Angelis, L. and Singleton, C. ORCID: (2022) Informational efficiency and behaviour within in-play prediction markets. International Journal of Forecasting, 38 (1). pp. 282-299. ISSN 0169-2070

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To link to this item DOI: 10.1016/j.ijforecast.2021.05.012


Studies of financial market informational efficiency have proven burdensome in practice, because it is difficult to pinpoint when news breaks and is known by some or all the participants. We overcome this by designing a framework to detect mispricing, test informational efficiency and evaluate the behavioural biases within high-frequency prediction markets. We demonstrate this using betting exchange data for association football, exploiting the moment when the first goal is scored in a match as major news that breaks cleanly. There are pre-match and in-play mispricing and inefficiency in these markets, explained by reverse favourite-longshot bias (favourite bias). The mispricing tends to increase when the major news is a surprise, such as a goal scored by a longshot team late in a match, with the market underestimating their chances of going on to win. These results suggest that, even in prediction markets with large crowds of participants trading state-contingent claims, significant informational inefficiency and behavioural biases can be reflected in prices.

Item Type:Article
Divisions:Arts, Humanities and Social Science > School of Politics, Economics and International Relations > Economics
ID Code:98329
Uncontrolled Keywords:Market efficiency; Favourite-longshot bias; Mispricing; Behavioural bias; Betting strategy


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