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Springer Modelling Extremal Events for Insurance and Finance

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Description

Modelling Extremal Events: for Insurance and Finance provides a comprehensive look at managing large-scale risks. Part of the Stochastic Modelling and Applied Probability series (volume 33), this Springer publication bridges the gap between theoretical probability and practical application in the financial and insurance sectors. The text addresses critical questions regarding large insurance claims, stock market shocks, and financial data fluctuations. By combining probabilistic and statistical viewpoints, it offers a practical approach to risk management. Every new theory presented is supported by real-life examples, making the complex concepts accessible. With numerous illustrations, practical examples, and an extensive bibliography, this book serves as an ideal reference for students and professionals working with extreme event modeling.

Key Features

This Springer book is part of the Stochastic Modelling and Applied Probability series, volume 33.

The text focuses on practical applications for insurance and finance, including risk management and stock market shocks.

Content bridges the gap between theory and practice using both probabilistic and statistical perspectives.

Real-life examples motivate new theories to ensure practical relevance for readers.

Includes numerous illustrations and an extensive bibliography to serve as an ideal reference text.

The book arrives in new, mint condition with guaranteed packaging for safe delivery.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
02 June 1997
Listed Since
12 February 2007

Barcode

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