On maximizing expected discounted taxation in a risk process with interest

被引:1
|
作者
Ming, Ruixing [1 ]
Wang, Wenyuan [2 ]
Hu, Yijun [3 ]
机构
[1] ZheJiang GongShang Univ, Stat & Math Inst, Hangzhou 310018, Zhejiang, Peoples R China
[2] Xiamen Univ, Sch Math Sci, Xiamen 361005, Fujian, Peoples R China
[3] Wuhan Univ, Sch Math & Stat, Wuhan 430072, Hubei, Peoples R China
基金
中国国家自然科学基金;
关键词
Cramer-Lundberg risk model; Interest; HJB equation; TAX PAYMENTS; MODEL;
D O I
10.1016/j.spl.2016.11.004
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 risk theory, the problem of maximizing the expected cumulated discounted loss-carry forward tax payments until ruin is a widely discussed topic since the taxation system was proposed by Albrecher and Hipp (2007). In the present paper, we discuss this maximization problem in the Cramer-Lundberg risk model including a constant force of interest. The optimal taxation return function is identified as the classical solution of the associated Hamilton-Jacobi-Bellman equation and the optimal taxation strategy in this risk model with interest is derived, which is of band type. Finally, an example is constructed for exponential claim sizes, in which closed-form expression for the optimal taxation return function is given. (C) 2016 Elsevier B.V. All rights reserved.
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页码:128 / 140
页数:13
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