Modelling Extremal Events for Insurance and Finance (Stochastic Modelling and Applied Probability)

modelling extremal events for insurance and finance (stochastic modelling and applied probability)

more information about Modelling Extremal Events for Insurance and Finance (Stochastic Modelling and Applied Probability)

Modelling Extremal Events for Insurance and Finance (Stochastic Modelling and Applied Probability)

Editorial Reviews
Book Description
Both in insurance and in finance applications, questions involving extremal events (such as large insurance claims, large fluctuations in financial data, stock market shocks, risk management, ...) play an increasingly important role. This book sets out to bridge the gap between the existing theory and practical applications both from a probabilistic as well as from a statistical point of view. Whatever new theory is presented is always motivated by relevant real-life examples. The numerous illustrations and examples, and the extensive bibliography make this book an ideal reference text for students, teachers and users in the industry of extremal event methodology.

Book Info
Presents a comprehensive treatment of extreme value methodology for random walk models, time series, certain type of continuous-time stochastic processes and compound Poisson processes, all standard models which occur in applications in mathematical finance.

Modelling Extremal Events for Insurance and Finance (Stochastic Modelling and Applied Probability)

Modelling Extremal Events for Insurance and Finance (Stochastic Modelling and Applied Probability),Paul Embrechts,Claudia Klüppelberg,Thomas Mikosch,Springer,3540609318,Business & Economics,Business Mathematics,Business/Economics,General,Insurance,Insurance - General,Management - General,Mathematics,Business & Economics / Finance,Economic statistics,Finance,Mathematical modelling,extreme value theory,insurance risk,mathematical finance,tail estimation,time series analysis

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Book Details

Book Details

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