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最小化损失概率的再保险和投资问题

Optimal Proportional Reinsurance and Investment with Minimizing Ruin Probability
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摘要 本文考虑保险公司的再保险和投资策略问题.为了在降低风险的同时增加收益,保险公司会考虑在再保险的基础上将剩余财富投资到m种风险资产中.资产中风险资产的价格波动服从几何布朗运动.本文给出了考虑再保险和投资之后的财富模型,基于最小化损失概率的基础上求解其相应的HJB方程,从而给出保险公司的再保险和投资的最优策略. In this paper, we consider a problem of optimal reinsurance and investment with multiple risky assets for an insurance company whose surplus is governed by a linear diffusion. The insurance company's risk can be reduced through reinsurance,while,in addition,the company invests its surplus in a financial market with one risk-free asset and m risky assets. The risky assets' prices are governed by geometric Brownian motions. We consider the optimization problem of minimizing the ruin probability and solve it by using the corresponding Hamihon-Jacobi-Bellman(HJB) equation. Explicit expression for the optimal value function and the corresponding optimal strategies are obtained.
出处 《南京师大学报(自然科学版)》 CAS CSCD 北大核心 2013年第1期1-9,共9页 Journal of Nanjing Normal University(Natural Science Edition)
基金 国家自然科学基金(11171159 11071122) 江苏省大规模复杂系统数值模拟重点实验室研究项目
关键词 HJB方程 损失概率 价值函数 交易费用 Hamilton-Jacobi-Bellman equation, ruin probability, value function, transaction costs
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参考文献14

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