Paul Embrechts (Swiss Federal University (ETH), Marius Hofert (The University of Hong Kong), Valerie Chavez-Demoulin (Universite de Lausanne

Risk Revealed (eBook, PDF)

Cautionary Tales, Understanding and Communication

• Format: PDF

Produktbeschreibung

Explore the concept of risk through numerous examples and their statistical modeling, traveling from a historical perspective all the way to an up-to-date technical analysis. Written with a wide readership in mind, this book begins with accounts of a selection of major historical disasters, such as the North Sea flood of 1953 and the L'Aquila earthquake. These tales serve to set the scene and to motivate the second part of the book, which describes the mathematical tools required to analyze these events, and how to use them. The focus is on the basic understanding of the mathematical modeling of risk and what types of questions the methods allow one to answer. The text offers a bridge between the world of science and that of everyday experience. It is written to be accessible to readers with only a basic background in mathematics and statistics. Even the more technical discussions are interspersed with historical comments and plentiful examples.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 11. April 2024
• ISBN-13: 9781009299824
• Artikelnr.: 70912651

Autorenporträt

Paul Embrechts is Emeritus Professor of Insurance Mathematics in the Department of Mathematics of ETH Zurich, Switzerland. He holds numerous distinctions and awards from universities and organizations worldwide. He co-authored the influential books 'Modelling Extremal Events for Insurance and Finance' and 'Quantitative Risk Management: Concepts, Techniques and Tools' and has published over 200 scientific papers in leading international scientific journals.

Inhaltsangabe

Introduction
1. The 1953 Great Flood
2. The space shuttle Challenger disaster
3. The 2007-2008 financial crisis
4. Earthquakes and tsunamis
5. The L'Aquila trial and the public communication of risk
6. The coronavirus pandemic
7. Mathematical wonderland
8. Stochastic modeling
9. The modeling of extreme events
10. On climate change and related risk
11. Further examples from the world of extremes
12. Networks
13. The black tulip and February 3, 1637
A note about the references
References
Index.