A class of non-zero-sum stochastic differential games between two mean–variance insurers under stochastic volatility. Issue 2 (April 2023)

• Record Type: Journal Article
• Authors: Zhang, Jiannan; Chen, Ping; Jin, Zhuo; Li, Shuanming
• Is Part Of: Probability in the engineering and informational sciences. Volume 37:Issue 2(2023)
• Page Start: 491
• Page End: 517
• Publication Date: 2023-04
• Subjects: Equilibrium strategy -- FBSDEs -- Mean–variance -- Reinsurance -- Non-zero-sum game; Probabilities -- Periodicals; Engineering -- Statistical methods -- Periodicals; Information science -- Statistical methods -- Periodicals; 519.202462
• DOI: 10.1017/S0269964822000353
• Languages: English
• ISSNs: 0269-9648

Abstract

Abstract : This paper studies the open-loop equilibrium strategies for a class of non-zero-sum reinsurance–investment stochastic differential games between two insurers with a state-dependent mean expectation in the incomplete market. Both insurers are able to purchase proportional reinsurance contracts and invest their wealth in a risk-free asset and a risky asset whose price is modeled by a general stochastic volatility model. The surplus processes of two insurers are driven by two standard Brownian motions. The objective for each insurer is to find the equilibrium investment and reinsurance strategies to balance the expected return and variance of relative terminal wealth. Incorporating the forward backward stochastic differential equations (FBSDEs), we derive the sufficient conditions and obtain the general solutions of equilibrium controls for two insurers. Furthermore, we apply our theoretical results to two special stochastic volatility models (Hull–White model and Heston model). Numerical examples are also provided to illustrate our results.