Viscosity Solution of Mean-Variance Portfolio Selection of a Jump Markov Process with No-Shorting Constraints

We consider the so-called mean-variance portfolio selection problem in continuous time under the constraint that the short-selling of stocks is prohibited where all the market coefficients are random processes. In this situation the Hamilton-Jacobi-Bellman (HJB) equation of the value function of the...

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Main Author: Moussa Kounta
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2016/4543298
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author Moussa Kounta
author_facet Moussa Kounta
author_sort Moussa Kounta
collection DOAJ
description We consider the so-called mean-variance portfolio selection problem in continuous time under the constraint that the short-selling of stocks is prohibited where all the market coefficients are random processes. In this situation the Hamilton-Jacobi-Bellman (HJB) equation of the value function of the auxiliary problem becomes a coupled system of backward stochastic partial differential equation. In fact, the value function V often does not have the smoothness properties needed to interpret it as a solution to the dynamic programming partial differential equation in the usual (classical) sense; however, in such cases V can be interpreted as a viscosity solution. Here we show the unicity of the viscosity solution and we see that the optimal and the value functions are piecewise linear functions based on some Riccati differential equations. In particular we solve the open problem posed by Li and Zhou and Zhou and Yin.
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spelling doaj-art-5a54a72758fe47f79672c7795241714b2025-02-03T01:10:58ZengWileyJournal of Applied Mathematics1110-757X1687-00422016-01-01201610.1155/2016/45432984543298Viscosity Solution of Mean-Variance Portfolio Selection of a Jump Markov Process with No-Shorting ConstraintsMoussa Kounta0The College of the Bahamas, School of Mathematics, Physics and Technology, P.O. Box 4912, Nassau, BahamasWe consider the so-called mean-variance portfolio selection problem in continuous time under the constraint that the short-selling of stocks is prohibited where all the market coefficients are random processes. In this situation the Hamilton-Jacobi-Bellman (HJB) equation of the value function of the auxiliary problem becomes a coupled system of backward stochastic partial differential equation. In fact, the value function V often does not have the smoothness properties needed to interpret it as a solution to the dynamic programming partial differential equation in the usual (classical) sense; however, in such cases V can be interpreted as a viscosity solution. Here we show the unicity of the viscosity solution and we see that the optimal and the value functions are piecewise linear functions based on some Riccati differential equations. In particular we solve the open problem posed by Li and Zhou and Zhou and Yin.http://dx.doi.org/10.1155/2016/4543298
spellingShingle Moussa Kounta
Viscosity Solution of Mean-Variance Portfolio Selection of a Jump Markov Process with No-Shorting Constraints
Journal of Applied Mathematics
title Viscosity Solution of Mean-Variance Portfolio Selection of a Jump Markov Process with No-Shorting Constraints
title_full Viscosity Solution of Mean-Variance Portfolio Selection of a Jump Markov Process with No-Shorting Constraints
title_fullStr Viscosity Solution of Mean-Variance Portfolio Selection of a Jump Markov Process with No-Shorting Constraints
title_full_unstemmed Viscosity Solution of Mean-Variance Portfolio Selection of a Jump Markov Process with No-Shorting Constraints
title_short Viscosity Solution of Mean-Variance Portfolio Selection of a Jump Markov Process with No-Shorting Constraints
title_sort viscosity solution of mean variance portfolio selection of a jump markov process with no shorting constraints
url http://dx.doi.org/10.1155/2016/4543298
work_keys_str_mv AT moussakounta viscositysolutionofmeanvarianceportfolioselectionofajumpmarkovprocesswithnoshortingconstraints