Risk Modelling Based on Integer Valued Time Series

胡 祥(中南财经政法大学)

发布日期:2019-11-19点击数:

报告人: 胡 祥(中南财经政法大学)


日  期: 2019年1121


时  间: 16:00


地  点: 理科楼 LA106


摘  要: In insurance risk management, modelling of a dependence structure between different type of risks is a critical task for both practicing actuaries and academics. This paper considers a discrete-time risk model by introducing a temporal dependence between the number of claims. The risk model is based on INAR(1) process with various kind of innovations, which allows equal-dispersion, over-dispersion and zero-inflation. We investigate the moment generating function of the discounted aggregate claim amount within this framework. With mixed Erlang claim size, related risk measures such as the stop-loss premium, VaR and TVaR are discussed. The findings are illustrated by numerical examples.


报告人简介胡祥,中南财经政法大学金融学院副教授,硕士生导师,经济学博士,中国准精算师。主要研究领域为风险管理与非寿险精算。主持两项国家自然科学基金项目,并在Insurance: Mathematics and Economics,Scandinavian Actuarial Journal,统计研究,保险研究等期刊发表论文20余篇。


学院联系人: 张志民


欢迎广大师生积极参与!


关于我们
重庆大学数学与统计学院的前身是始建于1929年的重庆大学理学院和1937年建立的重庆大学商学院,理学院是重庆大学最早设立的三个学院之一,首任院长为数学家何鲁先生。