Optimal dividend and capital injection for the classical risk model with perturbation

本文研究了最优带扰动的经典风险模型的分红与注资策略. 目标是最大化破产前分红 减注资的贴现值. 该问题确切地阐述为一随机控制问题. 通过解相应的Hamilton-Jacobi-Bellman (HJB) 方程, 得到了最优分红与注资策略:分红策略是边界策略,即当盈余超过 某一水平 $b$时, 超出部分全部进行分红;低于该水平时不分红. 注资策略由最优注资上界 和最优下界刻画, 当赤字介于最优注资上下界之间时, 注资到$0$, 否则不再注资,破产发生. 最后在理赔为指数分布时 得到解析解

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Publication Details

Journal
Scientia Sinica Mathematica
Published
2025-04-21
DOI
https://doi.org/10.1360/ssm-2024-0153
Citations
1
Primary Topic
Probability and Risk Models
Type
article
Field-Weighted Citation Impact
2.11
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article

Optimal dividend and capital injection for the classical risk model with perturbation

Jie Xiong, Shuaiqi Zhang
1 citations
Scientia Sinica Mathematica
Probability and Risk Models
2.11
article

Optimal dividend and capital injection for the classical risk model with perturbation

Jie Xiong, Shuaiqi Zhang
article en
1 citations

Abstract

本文研究了最优带扰动的经典风险模型的分红与注资策略. 目标是最大化破产前分红 减注资的贴现值. 该问题确切地阐述为一随机控制问题. 通过解相应的Hamilton-Jacobi-Bellman (HJB) 方程, 得到了最优分红与注资策略:分红策略是边界策略,即当盈余超过 某一水平 $b$时, 超出部分全部进行分红;低于该水平时不分红. 注资策略由最优注资上界 和最优下界刻画, 当赤字介于最优注资上下界之间时, 注资到$0$, 否则不再注资,破产发生. 最后在理赔为指数分布时 得到解析解

Scientia Sinica MathematicaVol. 55(7)
Openalex Percentile: Top 14%
Probability and Risk Models
2.11
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Optimal dividend and capital injection for the classical risk model with perturbation — Jie Xiong, Shuaiqi Zhang · Scientia Sinica Mathematica (2025) | TGRS Research Map | TGRS