English

Generalizing the Kelly strategy

Machine Learning 2016-12-07 v3 Computer Science and Game Theory

Abstract

Prompted by a recent experiment by Victor Haghani and Richard Dewey, this note generalises the Kelly strategy (optimal for simple investment games with log utility) to a large class of practical utility functions and including the effect of extraneous wealth. A counterintuitive result is proved : for any continuous, concave, differentiable utility function, the optimal choice at every point depends only on the probability of reaching that point. The practical calculation of the optimal action at every stage is made possible through use of the binomial expansion, reducing the problem size from exponential to quadratic. Applications include (better) automatic investing and risk taking under uncertainty.

Cite

@article{arxiv.1611.09130,
  title  = {Generalizing the Kelly strategy},
  author = {Arjun Viswanathan},
  journal= {arXiv preprint arXiv:1611.09130},
  year   = {2016}
}

Comments

8 pages pdf, working note v2 29th nov. current version v4 (latex typeset, added upper bound on domain of H)

R2 v1 2026-06-22T17:06:23.132Z