Wiley, 2010. — 240 p. — ISBN 978-0470666012.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.
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Academic Press, 2017. — 306 p. — ISBN 978-0-12-803590-0. This book provides a comprehensive view of the risk management activity by means of the stress testing process. An introduction to multivariate time series modeling paves the way to scenario analysis in order to assess a bank resilience against adverse macroeconomic conditions. Assets and liabilities are jointly studied to...
New York: Wiley, 2010. — 821 p.
Never before has risk management been so important.
Now in its third edition, this seminal work by Joël Bessis has been comprehensively revised and updated to take into account the changing face of risk management.
Fully restructured, featuring new material and discussions on new financial products, derivatives, Basel II, credit models based on...
Wiley – 2011, 296 pages
Financial Risk Forecasting is a complete introduction to practical quantitative risk management, with a focus on market risk. Derived from the authors teaching notes and years spent training practitioners in risk management techniques, it brings together the three key disciplines of finance, statistics and modeling (programming), to...
Wiley, 2012. — 2100 p. — ISBN: 1118006739, 9781118006733
3 Volume Set.
An essential reference dedicated to a wide array of financial models, issues in financial modeling, and mathematical and statistical tools for financial modeling
The need for serious coverage of financial modeling has never been greater, especially with the size, diversity, and efficiency of modern capital...
Wiley – 2011, 448 pages
A guide to the validation and risk management of quantitative models used for pricing and hedging
Whereas the majority of quantitative finance books focus on mathematics and risk management books focus on regulatory aspects, this book addresses the elements missed by this literature the risks of the models themselves. This book starts...
Wiley, 2013. – 775 p. – ISBN: 1118278542, 9781118278543.
Practical tools and advice for managing financial risk, updated for a post-crisis world.
Advanced Financial Risk Management bridges the gap between the idealized assumptions used for risk valuation and the realities that must be reflected in management actions. It explains, in detailed yet easy-to-understand terms, the...