Beating the House: Identifying Inefficiencies in Sports Betting Markets

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dc.contributor.authorRamesh, Sathya
dc.contributor.authorMostofa, Ragib
dc.contributor.authorBornstein, Marco
dc.contributor.authorDobelman, John
dc.contributor.orgCenter for Computational Finance and Economic Systems
dc.date.accessioned2022-05-25T16:13:36Z
dc.date.available2022-05-25T16:13:36Z
dc.date.issued2019
dc.description.abstractInefficient markets allow investors to consistently outperform the market. To demonstrate that inefficiencies exist in sports betting markets, we created a betting algorithm that generates above market returns for the NFL, NBA, NCAAF, NCAAB, and WNBA betting markets. To formulate our betting strategy, we collected and examined a novel dataset of bets, and created a non-parametric win probability model to find positive expected value situations. As the United States Supreme Court has recently repealed the federal ban on sports betting, research on sports betting markets is increasingly relevant for the growing sports betting industry.
dc.identifier.citationRamesh, Sathya, Mostofa, Ragib, Bornstein, Marco, et al.. "Beating the House: Identifying Inefficiencies in Sports Betting Markets." (2019) arXiv: https://doi.org/10.48550/arXiv.1910.08858.
dc.identifier.doihttps://doi.org/10.48550/arXiv.1910.08858
dc.identifier.urihttps://hdl.handle.net/1911/112405
dc.language.isoeng
dc.publisherarXiv
dc.titleBeating the House: Identifying Inefficiencies in Sports Betting Markets
dc.typeOther
dc.type.dcmiText
dc.type.publicationpre-print
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