mlsanityData to 7 Oct 2026

Efficient Market Dynamics: Unraveling Informational Efficiency in UK Horse Racing Betting Markets Through Betfair's Time Series Analysis

arXiv 2402.02623 ↗First posted 4 Feb 2024cs.CE cs.AIcited by 1

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Abstract (arXiv)

Using Betfair's time series data, an analysis of the United Kingdom (UK) horse racing market reveals an interesting paradox: a market with short tails, rapidly decaying autocorrelations, and no long-term memory. There seems to be a remarkably high level of informational efficiency in betting exchange returns, in contrast to financial assets that are characterized by heavy tails and volatility clustering. The generalized Gaussian unconditional distribution with a light tail point to a market where knowledge is quickly assimilated and reflected in prices. This is further supported by the extremely quick fading of autocorrelations and the absence of gain-loss asymmetry. Therefore, in addition to measuring long-range memory, the Hurst exponent also shows mean reversion, a sign that markets respond quickly to fresh information.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 9 of its 47 references that are in the map. First posted on arXiv 4 Feb 2024.

Builds on

9 of 47 references.

References · 9

  1. 2023MLOps: A Reviewcited by 16
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