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机构地区:[1]中山大学数学与计算科学学院,广州510275 [2]中山大学岭南(大学)学院,广州510275
出 处:《系统科学与数学》2009年第11期1496-1506,共11页Journal of Systems Science and Mathematical Sciences
基 金:国家杰出青年科学基金(70825002);国家自然科学基金(70518001)项目资助
摘 要:根据监管规定,保险公司必须提存一定水平的准备金。鉴于此,保险公司必须保持盈余不低于这个准备金水平。将保险公司盈余首达该准备金水平的时刻定义为"破产"时刻,以最小化"破产"概率为目标;假设保险公司可购买比例再保险,其盈余过程由扩散模型刻画且盈余按连续复利方式计算利息,其中利力为常数;借助随机动态规划方法,通过求解相应的HJB方程得到了最优值函数与最优比例再保险策略的解析式。最后给出了经济解释与数值算例。According to regulations, an insurance company must convert a certain level of reserve. In view of this, the insurer must keep its surplus no less than this reserve level. In this paper, the "ruin" time is defined as the first time to achieve the reserve level, and the target is to minimize the "ruin" probability of the insurer. It is assumed that the surplus process is described by a diffusion model, the insurer can purchase proportional reinsurance and its surplus is appreciated according to continuous compound interest with a constant force of interest. By using the stochastic dynamic programming approach, explicit expressions of the optimal value function and the optimal proportional reinsurance policy are obtained via solving the corresponding HJB equation. Finally, some economical explanations and a numerical example are provided.
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