Now showing items 1-3 of 3

    • Beating the House: Identifying Inefficiencies in Sports Betting Markets 

      Ramesh, Sathya; Mostofa, Ragib; Bornstein, Marco; Dobelman, John; Center for Computational Finance and Economic Systems (2019)
      Inefficient 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, ...
    • Modeling Covariates with Nonparametric Bayesian Methods 

      Cruz-Marcelo, Alejandro; Rosner, Gary L.; Mueller, Peter; Stewart, Clinton; Center for Computational Finance and Economic Systems (2010)
      A research problem that has received increased attention in recent years is extending Bayesian nonparametric methods to include dependence on covariates. Limited attention, however, has been directed to the following two aspects. First, analyzing how the performance of such extensions differs, and second, understanding which features are worthwhile ...