Optimal reinsurance and investment for an insurer with the jump diffusion risk model in A-C case

In this paper, we study the optimal reinsurance and investment problem for a class of jump-diffusion model, where the diffusion term represents the additional claims (i.e. A-C case). The insurer can purchase proportional reinsurance while allowing she/he to invest in a risk-free asset and a risky as...

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Main Authors: Dengfeng Xia, Weijie Yuan, Weiyin Fei
Format: Article
Language:English
Published: Taylor & Francis Group 2019-09-01
Series:Systems Science & Control Engineering
Subjects:
Online Access:http://dx.doi.org/10.1080/21642583.2019.1630685
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author Dengfeng Xia
Weijie Yuan
Weiyin Fei
author_facet Dengfeng Xia
Weijie Yuan
Weiyin Fei
author_sort Dengfeng Xia
collection DOAJ
description In this paper, we study the optimal reinsurance and investment problem for a class of jump-diffusion model, where the diffusion term represents the additional claims (i.e. A-C case). The insurer can purchase proportional reinsurance while allowing she/he to invest in a risk-free asset and a risky asset. The price process of the risky asset is driven by geometric Lévy process with dividend payouts. Applying stochastic control theory, the corresponding Hamilton–Jacobi–Bellman equation is established and the optimal reinsurance-investment strategies to maximize the expected exponential utility of terminal wealth are also established. Finally, the optimal strategies are analysed by the numerical simulation.
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spelling doaj.art-712923d823df4f01bc03bdcd39e145f12022-12-22T00:51:13ZengTaylor & Francis GroupSystems Science & Control Engineering2164-25832019-09-0173131910.1080/21642583.2019.16306851630685Optimal reinsurance and investment for an insurer with the jump diffusion risk model in A-C caseDengfeng Xia0Weijie Yuan1Weiyin Fei2Anhui Polytechnic UniversityAnhui Polytechnic UniversityAnhui Polytechnic UniversityIn this paper, we study the optimal reinsurance and investment problem for a class of jump-diffusion model, where the diffusion term represents the additional claims (i.e. A-C case). The insurer can purchase proportional reinsurance while allowing she/he to invest in a risk-free asset and a risky asset. The price process of the risky asset is driven by geometric Lévy process with dividend payouts. Applying stochastic control theory, the corresponding Hamilton–Jacobi–Bellman equation is established and the optimal reinsurance-investment strategies to maximize the expected exponential utility of terminal wealth are also established. Finally, the optimal strategies are analysed by the numerical simulation.http://dx.doi.org/10.1080/21642583.2019.1630685Jump-diffusion modelA-C casegeometric Lévy processreinsurance-investment
spellingShingle Dengfeng Xia
Weijie Yuan
Weiyin Fei
Optimal reinsurance and investment for an insurer with the jump diffusion risk model in A-C case
Systems Science & Control Engineering
Jump-diffusion model
A-C case
geometric Lévy process
reinsurance-investment
title Optimal reinsurance and investment for an insurer with the jump diffusion risk model in A-C case
title_full Optimal reinsurance and investment for an insurer with the jump diffusion risk model in A-C case
title_fullStr Optimal reinsurance and investment for an insurer with the jump diffusion risk model in A-C case
title_full_unstemmed Optimal reinsurance and investment for an insurer with the jump diffusion risk model in A-C case
title_short Optimal reinsurance and investment for an insurer with the jump diffusion risk model in A-C case
title_sort optimal reinsurance and investment for an insurer with the jump diffusion risk model in a c case
topic Jump-diffusion model
A-C case
geometric Lévy process
reinsurance-investment
url http://dx.doi.org/10.1080/21642583.2019.1630685
work_keys_str_mv AT dengfengxia optimalreinsuranceandinvestmentforaninsurerwiththejumpdiffusionriskmodelinaccase
AT weijieyuan optimalreinsuranceandinvestmentforaninsurerwiththejumpdiffusionriskmodelinaccase
AT weiyinfei optimalreinsuranceandinvestmentforaninsurerwiththejumpdiffusionriskmodelinaccase