Weighted entropy and optimal portfolios for risk-averse Kelly investments

M. Kelbert, I. Stuhl, Y. Suhov

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Following a series of works on capital growth investment, we analyse log-optimal portfolios where the return evaluation includes ‘weights’ of different outcomes. The results are twofold: (A) under certain conditions, the logarithmic growth rate leads to a supermartingale, and (B) the optimal (martingale) investment strategy is a proportional betting. We focus on properties of the optimal portfolios and discuss a number of simple examples extending the well-known Kelly betting scheme. An important restriction is that the investment does not exceed the current capital value and allows the trader to cover the worst possible losses. The paper deals with a class of discrete-time models. A continuous-time extension is a topic of an ongoing study.

Original languageEnglish (US)
Pages (from-to)165-200
Number of pages36
JournalAequationes Mathematicae
Volume92
Issue number1
DOIs
StatePublished - Feb 1 2018

Fingerprint

Optimal Portfolio
Entropy
Supermartingale
Discrete-time Model
Martingale
Continuous Time
Exceed
Logarithmic
Directly proportional
Cover
Restriction
Series
Evaluation

All Science Journal Classification (ASJC) codes

  • Mathematics(all)
  • Discrete Mathematics and Combinatorics
  • Applied Mathematics

Cite this

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Weighted entropy and optimal portfolios for risk-averse Kelly investments. / Kelbert, M.; Stuhl, I.; Suhov, Y.

In: Aequationes Mathematicae, Vol. 92, No. 1, 01.02.2018, p. 165-200.

Research output: Contribution to journalArticle

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