教育部人文社科重点研究基地中央财经大学中国精算研究院学术活动
精算论坛讲座第231期
(2023年11月8日)
讲座题目：Insurance design with tail risk measure and likelihood ratio uncertainty
讲座摘要：The model uncertainty is of crucial importance when market participants are making risk management strategies. From a conservative consideration, decision makers seek the worst-case scenario among all conceivable models for a given risk measure. In this work, we use the likelihood ratio to quantify discrepancies between models, and study the optimal reinsurance strategy for an insurance company in the worst-case scenario. We establish a link between the insurer’s optimal strategies in scenarios with and without the model uncertainty. If the insurer’s optimal reinsurance is known under the reference model, applying our method, our approach facilitates the direct determination of the insurer’s optimal strategy, accounting for the likelihood ratio model uncertainty. Meanwhile, the likelihood ratio uncertainty has a close connection with tail risk measures. Therefore, our method is also applicable when the insurer adopts a tail risk measure in the optimization problem.
报告人简介：Dr. Fangda Liu is an assistant professor at the Department of Statistics and Actuarial Science, University of Waterloo. She is also an associated fellow of the Society of Actuaries. Her research focuses on optimal insurance and reinsurance design, risk sharing problems, distributional model uncertainty and its applications in insurance.
讲座时间：2023年11月8日 下午14：00-15:30
报告地点：沙河校区13号学院楼205
邀 请 人：池义春
欢迎各位老师和同学积极参加！
