Application of Asymptotic Analysis of a High-Dimensional HJB Equation to Portfolio Optimization

In this paper, we consider a portfolio optimization problem where the wealth consists of investing into a risky asset with a slow mean-reverting volatility and receiving an uncontrollable stochastic cash flow under the exponential utility. The Hamilton–Jacobi–Bellman equation formulated from the opt...

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Main Author: Lei Hu
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2023/3399493
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author Lei Hu
author_facet Lei Hu
author_sort Lei Hu
collection DOAJ
description In this paper, we consider a portfolio optimization problem where the wealth consists of investing into a risky asset with a slow mean-reverting volatility and receiving an uncontrollable stochastic cash flow under the exponential utility. The Hamilton–Jacobi–Bellman equation formulated from the optimal investment problem is a high-dimensional nonlinear partial differential equation and difficult to find its analytical or numerical solutions. The paper provides a tractable asymptotic approach which treats the initial problem as a perturbation around the constant volatility problem. In this paper, we present a formal derivation of asymptotic approximation and prove the accuracy of the value function. Moreover, an illustrative example is provided to assess our approximate strategy and value function.
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institution Kabale University
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series Journal of Mathematics
spelling doaj-art-17d987292b9c41ec89bef504ece247392025-02-03T01:32:07ZengWileyJournal of Mathematics2314-47852023-01-01202310.1155/2023/3399493Application of Asymptotic Analysis of a High-Dimensional HJB Equation to Portfolio OptimizationLei Hu0School of MathematicsIn this paper, we consider a portfolio optimization problem where the wealth consists of investing into a risky asset with a slow mean-reverting volatility and receiving an uncontrollable stochastic cash flow under the exponential utility. The Hamilton–Jacobi–Bellman equation formulated from the optimal investment problem is a high-dimensional nonlinear partial differential equation and difficult to find its analytical or numerical solutions. The paper provides a tractable asymptotic approach which treats the initial problem as a perturbation around the constant volatility problem. In this paper, we present a formal derivation of asymptotic approximation and prove the accuracy of the value function. Moreover, an illustrative example is provided to assess our approximate strategy and value function.http://dx.doi.org/10.1155/2023/3399493
spellingShingle Lei Hu
Application of Asymptotic Analysis of a High-Dimensional HJB Equation to Portfolio Optimization
Journal of Mathematics
title Application of Asymptotic Analysis of a High-Dimensional HJB Equation to Portfolio Optimization
title_full Application of Asymptotic Analysis of a High-Dimensional HJB Equation to Portfolio Optimization
title_fullStr Application of Asymptotic Analysis of a High-Dimensional HJB Equation to Portfolio Optimization
title_full_unstemmed Application of Asymptotic Analysis of a High-Dimensional HJB Equation to Portfolio Optimization
title_short Application of Asymptotic Analysis of a High-Dimensional HJB Equation to Portfolio Optimization
title_sort application of asymptotic analysis of a high dimensional hjb equation to portfolio optimization
url http://dx.doi.org/10.1155/2023/3399493
work_keys_str_mv AT leihu applicationofasymptoticanalysisofahighdimensionalhjbequationtoportfoliooptimization