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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Language: | English |
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2023-01-01
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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. |
format | Article |
id | doaj-art-17d987292b9c41ec89bef504ece24739 |
institution | Kabale University |
issn | 2314-4785 |
language | English |
publishDate | 2023-01-01 |
publisher | Wiley |
record_format | Article |
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 |