再保险
斯塔克伯格竞赛
投资策略
汉密尔顿-雅各比-贝尔曼方程
微分博弈
投资(军事)
完整信息
数理经济学
经济
信息不对称
风险厌恶(心理学)
数学
数学优化
期望效用假设
微观经济学
精算学
贝尔曼方程
利润(经济学)
政治
法学
政治学
作者
Yanfei Bai,Zhongbao Zhou,Helu Xiao,Rui Gao
出处
期刊:Optimization
[Taylor & Francis]
日期:2020-06-11
卷期号:70 (10): 2131-2168
被引量:23
标识
DOI:10.1080/02331934.2020.1777125
摘要
This paper investigates a Stackelberg stochastic differential reinsurance–investment game problem, in which the reinsurer is the leader and the insurer is the follower. The unequal status of the reinsurer and the insurer in the financial market is characterized by the asymmetric information model. We consider their wealth processes with delay to characterize bounded memory. The objective of the reinsurer is to find the optimal premium pricing strategy and investment strategy such that its constant absolute risk aversion (CARA) utility of the combination of terminal wealth and average performance wealth is maximized. The objective of the insurer is to find the optimal reinsurance strategy and investment strategy such that its CARA utility of the relative performance is maximized. We derive the equilibrium strategy explicitly for the game by solving corresponding Hamilton–Jacobi–Bellman equations sequentially. Then, we establish the verification theorem. The equilibrium investment strategy indicates that the insurer with less information completely imitates the investment strategy of the reinsurer who has more information on the financial market. Further, we find that the effect of the delay weight on the equilibrium strategy is related to the length of delay time. Finally, we present some numerical examples to demonstrate the findings.
科研通智能强力驱动
Strongly Powered by AbleSci AI