Optimal Betting: Beyond the Long-Term Growth

While the Kelly portfolio has many desirable properties, including optimal long-term growth rate, the resulting investment strategy is rather aggressive. In this paper, we suggest a unified approach to the risk assessment of the Kelly criterion in both discrete and continuous time by introducing and analyzing the asymptotic variance that describes fluctuations of the portfolio growth, and use the results to propose two new measures for quantifying risk.

Publication Details

Journal
ArXiv.org
Published
2025-03-22
Primary Topic
Advanced Bandit Algorithms Research
Type
article
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article

Optimal Betting: Beyond the Long-Term Growth

ArXiv.org
Advanced Bandit Algorithms Research
article

Optimal Betting: Beyond the Long-Term Growth

article en

Abstract

While the Kelly portfolio has many desirable properties, including optimal long-term growth rate, the resulting investment strategy is rather aggressive. In this paper, we suggest a unified approach to the risk assessment of the Kelly criterion in both discrete and continuous time by introducing and analyzing the asymptotic variance that describes fluctuations of the portfolio growth, and use the results to propose two new measures for quantifying risk.

ArXiv.org
Openalex Percentile: Top 42%
Advanced Bandit Algorithms Research
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Optimal Betting: Beyond the Long-Term Growth · ArXiv.org (2025) | TGRS Research Map | TGRS