Description
Book SynopsisADVANCES IN HEAVY TAILED RISK MODELING
A cutting-edge guide for the theories, applications, and statistical methodologies essential to heavy tailed risk modeling
Focusing on the quantitative aspects of heavy tailed loss processes in operational risk and relevant insurance analytics, Advances in Heavy Tailed Risk Modeling: A Handbook of Operational Risk presents comprehensive coverage of the latest research on the theories and applications in risk measurement and modeling techniques. Featuring a unique balance of mathematical and statistical perspectives, the handbook begins by introducing the motivation for heavy tailed risk processes.
A companion with Fundamental Aspects of Operational Risk and Insurance Analytics: A Handbook of Operational Risk, the handbook provides a complete framework for all aspects of operational risk management and includes:
- Clear coverage on advanced topics such as splice loss models, extreme value theory, heavy tailed closed for
Table of Contents
1 Motivation for Heavy-Tailed Models 1
2 Fundamentals of Extreme Value Theory for OpRisk 17
3 Heavy-Tailed Model Class Characterizations for LDA 105
4 Flexible Heavy-Tailed Severity Models: α-Stable Family 139
5 Flexible Heavy-Tailed Severity Models: Tempered Stable and Quantile Transforms 227
6 Families of Closed-Form Single Risk LDA Models 279
7 Single Risk Closed-Form Approximations of Asymptotic Tail Behaviour 353
8 Single Loss Closed-Form Approximations of Risk Measures 433
9 Recursions for Distributions of LDA Models 517
A Miscellaneous Definitions and List of Distributions 587
