摘要
主要研究随机观测下对偶风险模型的期望折现罚金函数.首先,利用过程的马尔可夫性得到了期望折现罚金函数所满足的积分微分方程.其次,当罚金函数取不同的值时,得到了破产时的Laplace变换、破产时赤字的期望折现函数以及破产概率所满足的积分微分方程.最后,给出了两面跳均服从指数分布情况下破产概率的显性表达式以及具体的数值例子.
This paper mainly studies the expected discounted penalty function of the dual risk model under randomized observation. Firstly, by using the Markov property of the process, the integral differential equation of the expected discounted penalty function is obtained. Then, the integral differential equations for the Laplace transform of the ruin time, the expected discounted function of the deficit at the ruin time and the ruin probability are derived when the penalty function takes different values. Finally, the closed-form expression and the specific numerical example of the ruin probability in the case of the exponential distribution are given.
作者
王冰冰
何敬民
WANG Bing-bing;HE Jing-min(College of Science, Tianjin University of Technology, Tianjin 300384, China)
出处
《烟台大学学报(自然科学与工程版)》
CAS
2019年第2期113-117,178,共6页
Journal of Yantai University(Natural Science and Engineering Edition)
基金
教育部人文社科项目(14YJCZH048
15YJCZH204)
国家自然科学基金资助项目(11401436
11601382)