Efficient Market Dynamics: Unraveling Informational Efficiency in UK Horse Racing Betting Markets Through Betfair's Time Series Analysis
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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
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- 2023Roulette-Wheel Selection-Based PSO Algorithm for Solving the Vehicle Routing Problem with Time Windowscited by 12
- 2024Detection of a facemask in real-time using deep learning methods: Prevention of Covid 19cited by 11
- 2019The Application of Machine Learning Techniques for Predicting Results in Team Sport: A Reviewcited by 9
- 2024Transformational application of Artificial Intelligence and Machine learning in Financial Technologies and Financial services: A bibliometric reviewcited by 7
- 2024AI-based Personalization and Trust in Digital Financecited by 6
- 2024Exploring the Impact of Blockchain, AI, and ML on Financial Accounting Efficiency and Transformationcited by 5
- 2021BBE: Simulating the Microstructural Dynamics of an In-Play Betting Exchange via Agent-Based Modellingcited by 2
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Citing papers per year: 2024: 1.
1 paper.