Continuous-time mean-risk portfolio selection

This paper is concerned with continuous-time portfolio selection models in a complete market where the objective is to minimize the risk subject to a prescribed expected payoff at the terminal time. The risk is measured by the expectation of a certain function of the deviation of the terminal payoff...

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Main Authors: Jin, H, Yan, J, Zhou, X
Format: Journal article
Language:English
Published: 2005
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author Jin, H
Yan, J
Zhou, X
author_facet Jin, H
Yan, J
Zhou, X
author_sort Jin, H
collection OXFORD
description This paper is concerned with continuous-time portfolio selection models in a complete market where the objective is to minimize the risk subject to a prescribed expected payoff at the terminal time. The risk is measured by the expectation of a certain function of the deviation of the terminal payoff from its mean. First of all, a model where the risk has different weights on the upside and downside variance is solved explicitly. The limit of this weighted mean-variance problem, as the weight on the upside variance goes to zero, is the mean-semivariance model which is shown to admit no optimal solution. This negative result is further generalized to a mean-downside-risk portfolio selection problem where the risk has nonzero value only when the terminal payoff is lower than its mean. Finally, a general model is investigated where the risk function is convex. Sufficient and necessary conditions for the existence of optimal portfolios are given. Moreover, optimal portfolios are obtained when they do exist. The solution is based on completely solving certain static, constrained optimization problems of random variables. © 2005 Elsevier SAS. All rights reserved.
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spelling oxford-uuid:9bee3027-5158-44c7-940f-eabbb2e150822022-03-27T00:32:25ZContinuous-time mean-risk portfolio selectionJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:9bee3027-5158-44c7-940f-eabbb2e15082EnglishSymplectic Elements at Oxford2005Jin, HYan, JZhou, XThis paper is concerned with continuous-time portfolio selection models in a complete market where the objective is to minimize the risk subject to a prescribed expected payoff at the terminal time. The risk is measured by the expectation of a certain function of the deviation of the terminal payoff from its mean. First of all, a model where the risk has different weights on the upside and downside variance is solved explicitly. The limit of this weighted mean-variance problem, as the weight on the upside variance goes to zero, is the mean-semivariance model which is shown to admit no optimal solution. This negative result is further generalized to a mean-downside-risk portfolio selection problem where the risk has nonzero value only when the terminal payoff is lower than its mean. Finally, a general model is investigated where the risk function is convex. Sufficient and necessary conditions for the existence of optimal portfolios are given. Moreover, optimal portfolios are obtained when they do exist. The solution is based on completely solving certain static, constrained optimization problems of random variables. © 2005 Elsevier SAS. All rights reserved.
spellingShingle Jin, H
Yan, J
Zhou, X
Continuous-time mean-risk portfolio selection
title Continuous-time mean-risk portfolio selection
title_full Continuous-time mean-risk portfolio selection
title_fullStr Continuous-time mean-risk portfolio selection
title_full_unstemmed Continuous-time mean-risk portfolio selection
title_short Continuous-time mean-risk portfolio selection
title_sort continuous time mean risk portfolio selection
work_keys_str_mv AT jinh continuoustimemeanriskportfolioselection
AT yanj continuoustimemeanriskportfolioselection
AT zhoux continuoustimemeanriskportfolioselection