Association Journal of CSIAM
Supervised by Ministry of Education of PRC
Sponsored by Xi'an Jiaotong University
ISSN 1005-3085  CN 61-1269/O1

Chinese Journal of Engineering Mathematics ›› 2024, Vol. 41 ›› Issue (2): 245-265.doi: 10.3969/j.issn.1005-3085.2024.02.004

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Robust Optimal Reinsurance and Investment Strategies for the Insurer and the Reinsurer under Dependent Risk Model

MU Rui1,  MA Shixia2,  ZHANG Xinru2   

  1. 1. School of Economics and Management, Shandong Huayu University of Technology, Dezhou 253000;
    2. School of Science, Hebei University of Technology, Tianjin 300401
  • Received:2021-07-06 Accepted:2022-08-12 Online:2024-04-15 Published:2024-06-15
  • Supported by:
    The National Natural Science Foundation of China (12071107); the Research Achievements of 2023 Smart Logistics and Supply Chain Research Center (2023HYWL09).

Abstract:

This paper studies the optimal reinsurance and investment problem with consideration of joint interests of an insurer and a reinsurer under the risk model with common shock dependence. Suppose that the surplus process of the insurance company and the reinsurance company is described by the diffusion approximation model, and the insurance company can purchase proportional reinsurance whose reinsurance premium is calculated by the mean-variance premium principle to disperse risks. Both insurance companies and reinsurance companies can invest in risk-free assets and risk assets whose price process follows the square-root factor process. By stochastic control theory, we establish the robust Hamilton-Jacobi-Bellman (HJB) equation and obtain the optimal reinsurance-investment strategies and the corresponding value functions under the objective of maximizing the expected utility of the weighted sum of terminal wealth of insurance companies and reinsurance companies. In addition, we give some numerical examples to illustrate the effects of some model parameters on the optimal reinsurance and investment strategies.

Key words: dependent risk, common interest, mean-variance premium principle, ambiguity averse, square-root factor process

CLC Number: