Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/1050
Title: Risk sensitive portfolio optimization in a jump diffusion model with regimes
Authors: DAS, MILAN KUMAR
GOSWAMI, ANINDYA
Rana, Nimit
Dept. of Mathematics
Keywords: Mathematics
Portfolio optimization
Jump diffusion market model
Semi-Markov switching
Risk sensitive criterion
TOC-JUNE-2018
2018
Issue Date: Apr-2018
Publisher: Society for Industrial and Applied Mathematics
Citation: SIAM Journal on Control and Optimization. 56(2).
Abstract: This article studies a portfolio optimization problem, where the mar- ket consisting of several stocks is modeled by a multi-dimensional jump diffusion process with age-dependent semi-Markov modulated coefficients. We study risk sensitive portfolio optimization on the finite time horizon. We study the problem by using a probabilistic approach to establish the existence and uniqueness of the classical solution to the corresponding Hamilton-Jacobi-Bellman (HJB) equation. We also implement a numerical scheme to investigate the behavior of solutions for different values of the initial portfolio wealth, the maturity, and the risk of aversion parameter
URI: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/1050
https://doi.org/10.1137/17M1121809
ISSN: 1095-7138
Appears in Collections:JOURNAL ARTICLES

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