Optimal Investment and Reinsurance to Maximize the Probability of Drawup Before Drawdown

被引:0
作者
Liu, Yakun [1 ,2 ]
Li, Jingchao [3 ]
Zhou, Jieming [1 ]
Deng, Yingchun [4 ]
机构
[1] Hunan Normal Univ, Sch Math & Stat, MOE LCSM, Changsha 410081, Hunan, Peoples R China
[2] Hunan Univ, Sch Business, Changsha 410082, Peoples R China
[3] Shenzhen Univ, Sch Math Sci, Shenzhen 518060, Guangdong, Peoples R China
[4] Hunan Univ Informat Technol, Sch Int Business, Changsha 410151, Peoples R China
关键词
Drawdown; Drawup; Euler method; Investment; Reinsurance; STOCHASTIC DIFFERENTIAL REINSURANCE; OPTIMAL PROPORTIONAL REINSURANCE; GOAL-REACHING PROBABILITY; DYNAMIC MEAN-VARIANCE; PORTFOLIO SELECTION; RISK PROCESS; RUIN; POLICIES; INSURER;
D O I
10.1007/s11009-024-10096-9
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this paper, we study the optimal investment and proportional reinsurance problem for an insurer with short-selling and borrowing constraints under the expected value premium principle. The claim process follows a Brownian risk model with a drift. The insurer's surplus is allowed to invest in one risk-free asset and one risky asset. By using the dynamic programming approach and solving the corresponding boundary-value problems, the optimization objective of maximizing the probability of drawup before drowdown is considered initially. The optimal strategy and the corresponding value function are derived through solving the Hamilton-Jacobi-Bellman (HJB) equation. Moreover, numerical examples are performed to illustrate the effects of model parameters on the optimal strategy. In addition, we verify the optimality of the strategies obtained from the dynamic programming principle by Euler method.
引用
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页数:34
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