Springer Modelling Extremal Events for Insurance and Finance

In both insurance and finance, managing extremal events is a growing necessity. This book addresses critical questions involving large insurance claims, stock market shocks, large fluctuations in financial data, and risk management. Published by Springer as part of the Stochastic Modelling and Applied Probability series (Volume 33), this text bridges the gap between existing theory and practical applications. By approaching the subject from both probabilistic and statistical perspectives, the content provides a comprehensive framework for understanding extreme occurrences. New theories are supported by relevant real-life examples to ensure practical utility. With numerous illustrations, practical examples, and an extensive bibliography, this book serves as an ideal reference text for students and professionals looking to master the complexities of extremal event modelling.