Advanced search
Start date
Betweenand
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Weighted entropy and optimal portfolios for risk-averse Kelly investments

Full text
Author(s):
Kelbert, M. [1] ; Stuhl, I. [2, 3, 4] ; Suhov, Y. [5, 6, 7]
Total Authors: 3
Affiliation:
[1] Moscow Higher Sch Econ, Moscow - Russia
[2] Univ Debrecen, Debrecen - Hungary
[3] Univ Denver, Dept Math, Denver, CO 80208 - USA
[4] Univ Sao Paulo, IMS, Sao Paulo, SP - Brazil
[5] Penn State Univ, Dept Math, State Coll, PA - USA
[6] Univ Cambridge, DPMMS, Cambridge - England
[7] IPIT RAS, Moscow - Russia
Total Affiliations: 7
Document type: Journal article
Source: AEQUATIONES MATHEMATICAE; v. 92, n. 1, p. 165-200, FEB 2018.
Web of Science Citations: 1
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 super-martingale, 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. (AU)

FAPESP's process: 11/51845-5 - Analytical, finite and quasi-group loops
Grantee:Izabella Stuhl
Support Opportunities: Scholarships in Brazil - Post-Doctoral