The Optimal Robust Investment Problem in the Foreign Stock Market of an Ambiguity-Averse Insurer

To address the need for robust investment strategies in an increasingly uncertain global market, this study focuses on an ambiguity-averse insurer facing exchange rate uncertainty while investing in a foreign stock market. The insurer’s surplus is modeled via a classical compound Poisson process, and exchange rate dynamics are captured using an Ornstein–Uhlenbeck process for the drift component. Within the framework of maximizing expected exponential utility of terminal wealth, we derive and solve the Hamilton–Jacobi–Bellman equation to characterize the optimal investment strategy and the associated value function. Finally, a numerical example illustrates how varying model parameters influences the insurer’s optimal investment behavior.

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Publication Details

Journal
Axioms
Published
2025-12-29
DOI
https://doi.org/10.3390/axioms15010030
Primary Topic
Risk and Portfolio Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

The Optimal Robust Investment Problem in the Foreign Stock Market of an Ambiguity-Averse Insurer

Linlin Tian, Yixuan Tian, Xiaoyi Zhang
Axioms
Risk and Portfolio Optimization
article

The Optimal Robust Investment Problem in the Foreign Stock Market of an Ambiguity-Averse Insurer

Linlin Tian, Yixuan Tian, Xiaoyi Zhang
article en

Abstract

To address the need for robust investment strategies in an increasingly uncertain global market, this study focuses on an ambiguity-averse insurer facing exchange rate uncertainty while investing in a foreign stock market. The insurer’s surplus is modeled via a classical compound Poisson process, and exchange rate dynamics are captured using an Ornstein–Uhlenbeck process for the drift component. Within the framework of maximizing expected exponential utility of terminal wealth, we derive and solve the Hamilton–Jacobi–Bellman equation to characterize the optimal investment strategy and the associated value function. Finally, a numerical example illustrates how varying model parameters influences the insurer’s optimal investment behavior.

AxiomsVol. 15(1)
Donghua University (CN), Hebei University of Technology (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 27%
Risk and Portfolio Optimization
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