Optimal mean-variance reinsurance and investment strategy with constraints in a non-Markovian regime-switching model

被引:4
|
作者
Zhang, Liming [1 ]
Wang, Rongming [1 ]
Wei, Jiaqin [1 ]
机构
[1] East China Normal Univ, Sch Stat, Key Lab Adv Theory & Applicat Stat & Data Sci MOE, 3663 North Zhongshan Rd, Shanghai 200062, Peoples R China
基金
中国国家自然科学基金;
关键词
Markov chain; mean-variance problem; non-negative constraints; BSDE; regime-switching; OPTIMAL PROPORTIONAL REINSURANCE; PORTFOLIO SELECTION; RANDOM-COEFFICIENTS; INSURER; PROBABILITY;
D O I
10.1080/24754269.2020.1719356
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
This paper is devoted to study the proportional reinsurance/new business and investment problem under the mean-variance criterion in a continuous-time setting. The strategies are constrained in the non-negative cone and all coefficients in the model except the interest rate are stochastic processes adapted the filtration generated by a Markov chain. With the help of a backward stochastic differential equation driven by the Markov chain, we obtain the optimal strategy and optimal cost explicitly under this non-Markovian regime-switching model. The cases with one risky asset and Markov regime-switching model are considered as special cases.
引用
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页码:214 / 227
页数:14
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