Coherent Stress Testing

A Bayesian Approach to the Analysis of Financial Stress de

Éditeur :

Wiley


Collection :

The Wiley Finance Series

Paru le : 2010-06-10

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Description
In Coherent Stress Testing: A Bayesian Approach, industry expert Riccardo Rebonato presents a groundbreaking new approach to this important but often undervalued part of the risk management toolkit.
Based on the author's extensive work, research and presentations in the area, the book fills a gap in quantitative risk management by introducing a new and very intuitively appealing approach to stress testing based on expert judgement and Bayesian networks. It constitutes a radical departure from the traditional statistical methodologies based on Economic Capital or Extreme-Value-Theory approaches.
The book is split into four parts. Part I looks at stress testing and at its role in modern risk management. It discusses the distinctions between risk and uncertainty, the different types of probability that are used in risk management today and for which tasks they are best used. Stress testing is positioned as a bridge between the statistical areas where VaR can be effective and the domain of total Keynesian uncertainty. Part II lays down the quantitative foundations for the concepts described in the rest of the book. Part III takes readers through the application of the tools discussed in part II, and introduces two different systematic approaches to obtaining a coherent stress testing output that can satisfy the needs of industry users and regulators. In part IV the author addresses more practical questions such as embedding the suggestions of the book into a viable governance structure.
Pages
240 pages
Collection
The Wiley Finance Series
Parution
2010-06-10
Marque
Wiley
EAN papier
9780470666012
EAN PDF
9780470667361

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
240
Taille du fichier
2386 Ko
Prix
58,45 €
EAN EPUB
9780470971482

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
240
Taille du fichier
1772 Ko
Prix
58,45 €