Beating the House: Identifying Inefficiencies in Sports Betting Markets

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dc.contributor.authorRamesh, Sathyaen_US
dc.contributor.authorMostofa, Ragiben_US
dc.contributor.authorBornstein, Marcoen_US
dc.contributor.authorDobelman, Johnen_US
dc.contributor.orgCenter for Computational Finance and Economic Systemsen_US
dc.date.accessioned2022-05-25T16:13:36Zen_US
dc.date.available2022-05-25T16:13:36Zen_US
dc.date.issued2019en_US
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 As the United States Supreme Court has recently repealed the federal ban on sports betting, research on sports betting markets is increasingly relevant for the growing sports betting industry.en_US
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.en_US
dc.identifier.doihttps://doi.org/10.48550/arXiv.1910.08858en_US
dc.identifier.urihttps://hdl.handle.net/1911/112405en_US
dc.language.isoengen_US
dc.publisherarXiven_US
dc.titleBeating the House: Identifying Inefficiencies in Sports Betting Marketsen_US
dc.typeOtheren_US
dc.type.dcmiTexten_US
dc.type.publicationpre-printen_US
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