Cookies?
Library Header Image
LSE Research Online LSE Library Services

Optimal capital growth with convex shortfall penalties

MacLean, Leonard C., Zhao, Yonggan and Ziemba, William T. (2014) Optimal capital growth with convex shortfall penalties. Systemic Risk Centre Discussion Papers (15). Systemic Risk Centre, The London School of Economics and Political Science, London, UK.

[img]
Preview
PDF - Published Version
Download (1MB) | Preview

Abstract

The optimal capital growth strategy or Kelly strategy, has many desirable properties such as maximizing the asympotic long run growth of capital. However, it has considerable short run risk since the utility is logarithmic, with essentially zero Arrow-Pratt risk aversion. Most investors favor a smooth wealth path with high growth. In this paper we provide a method to obtain the maximum growth while staying above a predetermined ex-ante discrete time smooth wealth path with high probability, with shortfalls below the path penalized with a convex function of the shortfall so as to force the investor to remain above the wealth path. This results in a lower investment fraction than the Kelly strategy with less risk, and lower but maximal growth rate under the assumptions. A mixture model with Markov transitions between several normally distributed market regimes is used for the dynamics of asset prices. The investment model allows the determination of the optimal constrained growth wagers at discrete points in time in an attempt to stay above the ex-ante path.

Item Type: Monograph (Discussion Paper)
Official URL: http://www.systemicrisk.ac.uk/
Additional Information: © 2014 The Authors
Divisions: Systemic Risk Centre
Subjects: H Social Sciences > HB Economic Theory
JEL classification: G - Financial Economics > G1 - General Financial Markets > G10 - General
Date Deposited: 29 Aug 2014 10:59
Last Modified: 11 Dec 2024 19:14
Projects: ES/K002309/1
Funders: Economic and Social Research Council
URI: http://eprints.lse.ac.uk/id/eprint/59292

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics