Systems Science & Control Engineering (Dec 2024)

Optimal mean-variance investment and reinsurance strategies with a general Lévy process risk model

  • Haoran Yi,
  • Yuanchuang Shan,
  • Huisheng Shu,
  • Xuekang Zhang

DOI
https://doi.org/10.1080/21642583.2024.2306831
Journal volume & issue
Vol. 12, no. 1

Abstract

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This paper is concerned with the optimal time-consistent investment and reinsurance strategies for mean-variance insurers with a general Lévy Process model. Expressly, the insurers are allowed to purchase proportional reinsurance and invest in a financial market, where the surplus of the insurers is assumed to follow a Cramér–Lundberg model and the financial market consists of one risk-free asset and one risky asset whose price process is driven by a general Lévy process. Through the verification theorem, the closed-form expressions of the optimal strategies under the mean-variance criterion are derived by a complex partial integral differential Hamilton–Jacobi–Bellman equations. Finally, numerical simulations are provided to verify the effectiveness of the proposed optimal strategies and some economic interpretations are drawn.

Keywords