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Research Article | Open Access

Optimal investment and reinsurance for the insurer and reinsurer with the joint exponential utility under the CEV model

Ling Chen1Xiang Hu2Mi Chen1( )
School of Mathematics and Statistics & FJKLMAA, Fujian Normal University, Fuzhou 350117, China
School of Finance, Zhongnan University of Economics and Law, Nanhu Road, Wuhan 430073, China
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Abstract

This paper considers the problem of optimal investment-reinsurance for the insurer and reinsurer under the constant elasticity of variance (CEV) model. It is assumed that the net claims process is approximated by a diffusion process, both the insurer and reinsurer can invest in risk-free assets and risky assets. We use the variance premium principle to calculate the premiums of the insurer and reinsurer, and the reinsurance proportion is constrained by the net profit condition. Our objective is to maximize the joint exponential utility of the insurer and reinsurer's terminal wealth for a fixed time. By solving the HJB equation, we obtain the explicit expressions of the optimal investment-reinsurance strategy and value function. We find that the optimal reinsurance strategy can be divided into many cases and is related to the risk aversion coefficient of the insurer and reinsurer, but independent of the price of risky assets. Furthermore, we give the proof of the verification theorem. Finally, we demonstrate a numerical analysis to explain the results.

CLC number: 91B05, 91G05

References

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AIMS Mathematics
Pages 15383-15410

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Cite this article:
Chen L, Hu X, Chen M. Optimal investment and reinsurance for the insurer and reinsurer with the joint exponential utility under the CEV model. AIMS Mathematics, 2023, 8(7): 15383-15410. https://doi.org/10.3934/math.2023786

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Received: 22 March 2023
Revised: 16 April 2023
Accepted: 20 April 2023
Published: 15 July 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)