Extreme Events for Insurers: Correlation, Models and Mitigations

Submitted on 7th September 2017

The modelling and mitigation of extreme events is complex due to scarcity of experience data, emergence of new risks, dependence among risks and other factors. Often, familiar traditional statistical techniques are not enough to address these issues. To provide a resource for practitioners outlining more advanced tools for extreme risk analysis, the Financial Reporting Section, the Committee on Life Insurance Research and the Committee on Finance Research sponsored research resulting in a primer on this topic. Experts at this session will present the results of the study and explore extreme events from the perspective of a global insurance company, with an emphasis on market risk, credit risk, insurance risk, liquidity risk and business risk. They will also introduce practitioners to extreme risk concepts and models.

Length of Resource
41 pages
Tom Edwalds
Date Published
Publication Type
Resource Type