Modified Kelly criteria
Chu Dani,
Wu Yifan and
Swartz Tim B. ()
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Chu Dani: Department of Statistics and Actuarial Science, Simon Fraser University, 8888 University Drive, Burnaby BC V5A1S6, Canada
Wu Yifan: Department of Statistics and Actuarial Science, Simon Fraser University, 8888 University Drive, Burnaby BC V5A1S6, Canada
Swartz Tim B.: Department of Statistics and Actuarial Science, Simon Fraser University, 8888 University Drive, Burnaby BC V5A1S6, Canada
Journal of Quantitative Analysis in Sports, 2018, vol. 14, issue 1, 1-11
Abstract:
This paper considers an extension of the Kelly criterion used in sports wagering. By recognizing that the probability p of placing a correct wager is unknown, modified Kelly criteria are obtained that take the uncertainty into account. Estimators are proposed that are developed from a decision theoretic framework. We observe that the resultant betting fractions can differ markedly based on the choice of loss function. In the cases that we study, the modified Kelly fractions are smaller than original Kelly.
Keywords: Bayes estimation; Kelly criterion; loss functions; minimax estimation (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (2)
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DOI: 10.1515/jqas-2017-0122
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