Worst-Case Investment and Reinsurance Optimization for an Insurer under Model Uncertainty

In this paper, we study optimal investment-reinsurance strategies for an insurer who faces model uncertainty. The insurer is allowed to acquire new business and invest into a financial market which consists of one risk-free asset and one risky asset whose price process is modeled by a Geometric Brow...

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Main Authors: Xiangbo Meng, Ximin Rong, Lidong Zhang, Ziping Du
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2016/9693419
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author Xiangbo Meng
Ximin Rong
Lidong Zhang
Ziping Du
author_facet Xiangbo Meng
Ximin Rong
Lidong Zhang
Ziping Du
author_sort Xiangbo Meng
collection DOAJ
description In this paper, we study optimal investment-reinsurance strategies for an insurer who faces model uncertainty. The insurer is allowed to acquire new business and invest into a financial market which consists of one risk-free asset and one risky asset whose price process is modeled by a Geometric Brownian motion. Minimizing the expected quadratic distance of the terminal wealth to a given benchmark under the “worst-case” scenario, we obtain the closed-form expressions of optimal strategies and the corresponding value function by solving the Hamilton-Jacobi-Bellman (HJB) equation. Numerical examples are presented to show the impact of model parameters on the optimal strategies.
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issn 1026-0226
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publishDate 2016-01-01
publisher Wiley
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series Discrete Dynamics in Nature and Society
spelling doaj-art-73fa6b3555df40759cc47e706040357b2025-08-20T02:06:47ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2016-01-01201610.1155/2016/96934199693419Worst-Case Investment and Reinsurance Optimization for an Insurer under Model UncertaintyXiangbo Meng0Ximin Rong1Lidong Zhang2Ziping Du3School of Science, Tianjin University, Tianjin 300072, ChinaSchool of Science, Tianjin University, Tianjin 300072, ChinaSchool of Science, Tianjin University of Science & Technology, Tianjin 300457, ChinaSchool of Economics and Management, Tianjin University of Science & Technology, Tianjin 300222, ChinaIn this paper, we study optimal investment-reinsurance strategies for an insurer who faces model uncertainty. The insurer is allowed to acquire new business and invest into a financial market which consists of one risk-free asset and one risky asset whose price process is modeled by a Geometric Brownian motion. Minimizing the expected quadratic distance of the terminal wealth to a given benchmark under the “worst-case” scenario, we obtain the closed-form expressions of optimal strategies and the corresponding value function by solving the Hamilton-Jacobi-Bellman (HJB) equation. Numerical examples are presented to show the impact of model parameters on the optimal strategies.http://dx.doi.org/10.1155/2016/9693419
spellingShingle Xiangbo Meng
Ximin Rong
Lidong Zhang
Ziping Du
Worst-Case Investment and Reinsurance Optimization for an Insurer under Model Uncertainty
Discrete Dynamics in Nature and Society
title Worst-Case Investment and Reinsurance Optimization for an Insurer under Model Uncertainty
title_full Worst-Case Investment and Reinsurance Optimization for an Insurer under Model Uncertainty
title_fullStr Worst-Case Investment and Reinsurance Optimization for an Insurer under Model Uncertainty
title_full_unstemmed Worst-Case Investment and Reinsurance Optimization for an Insurer under Model Uncertainty
title_short Worst-Case Investment and Reinsurance Optimization for an Insurer under Model Uncertainty
title_sort worst case investment and reinsurance optimization for an insurer under model uncertainty
url http://dx.doi.org/10.1155/2016/9693419
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AT ximinrong worstcaseinvestmentandreinsuranceoptimizationforaninsurerundermodeluncertainty
AT lidongzhang worstcaseinvestmentandreinsuranceoptimizationforaninsurerundermodeluncertainty
AT zipingdu worstcaseinvestmentandreinsuranceoptimizationforaninsurerundermodeluncertainty