最小化破产概率的保险人鲁棒投资再保险策略研究  

Optimal Reinsurance and Investment Strategies for Insurers with Ambiguity Aversion:Minimizing the Probability of Ruin

作　　者：王雨薇 荣喜民 WANG Yuwei;RONG Ximin(School of mathematics, Tianjin university,Tianjin 300350, China)

机构地区：[1]天津大学数学学院,天津300350

出　　处：《经济数学》2020年第4期1-10,共10页Journal of Quantitative Economics

基　　金：国家自然科学基金资助项目(11771329,11871052)。

摘　　要：在模型不确定条件下,研究以破产概率最小化为目标的模糊厌恶型保险公司的最优投资再保险问题.假设保险公司可投资于一种风险资产,也可购买比例再保险.分别考虑风险资产的价格过程服从随机波动率模型和非随机波动率模型的两种情况,根据动态规划原理建立相应的HJB方程,得到保险公司的最优鲁棒投资再保险策略和价值函数的解析解.最后,通过数值模拟分析了各模型参数对最优策略和价值函数的影响.This paper considers a robust optimal investment and reinsurance problem for an ambiguity averse insurer(AAI)who aims to minimize the probability of ruin.The insurer is allowed to purchase proportional reinsurance and to invest in a risky asset.We consider two cases in which the price process of risky assets follows stochastic volatility model and non stochastic volatility model respectively.According to the dynamic programming principle,we derive the corresponding Hamilton-Jacobi-Bellman(HJB)equation,and obtain the optimal strategy and value function explicitly.Finally,we illustrate the effects of model parameters on optimal strategy and value function by numerical analysis.

关 键 词：破产概率 模型不确定 随机波动率 投资策略 再保险 HJB方程 随机最优控制 

分 类 号：F224.3[经济管理—国民经济]