Alex McNeil: Managing Financial Risk
Alexander J. Many of our ebooks are available through library electronic resources including these platforms:. This book provides the most comprehensive treatment of the theoretical concepts and modelling techniques of quantitative risk management.
Describing the latest advances in the field, Quantitative Risk Management covers the methods for market, credit and operational risk modelling. It places standard industry approaches on a more formal footing and explores key concepts such as loss distributions, risk measures and risk aggregation and allocation principles.
A primary theme throughout is the need to satisfactorily address extreme outcomes and the dependence of key risk drivers.
Proven in the classroom, the book also covers advanced topics like credit derivatives. This is a high level, but well-written treatment, rigorous sometimes succinct , complete with theorems and proofs. I believe that this work may become the book on quantitative risk management. It certainly helps to discover the forest in an area where a lot of trees are popping up daily. It includes extensive discussion of dynamic volatility models, extreme value theory, copulas and credit risk.
Academics, PhD students and quantitative practitioners will find many new and useful results in this important volume. The statistical and mathematical tools facilitate a better understanding of the strengths and weaknesses of a useful range of advanced risk-management concepts and models, while the focus on aggregate risk enhances the publication's value to banking and insurance supervisors.
Common pitfalls are pointed out, and mathematical sophistication is used in pursuit of useful and usable solutions. Every financial institution has a risk management department that looks at aggregated portfolio-wide risks on longer time scales, and at risk exposure to large, or extreme, market movements.
Risk managers are always on the lookout for good techniques to help them do their jobs.
This very good book provides these techniques and addresses an important, and under-developed, area of practical research. Praise for the previous edition: "McNeil, Frey, and Embrechts present a wide-ranging yet remarkably clear and coherent introduction to the modelling of financial risk.
Unlike most finance texts, where the focus is on pricing individual instruments, the primary focus in this book is the statistical behavior of portfolios of risky instruments, which is, after all, the primary concern of risk management. This ought to be a core text in every risk manager's training, and a useful reference for experienced professionals.
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Praise for the previous edition: "There is no book that provides the type of rigorous and detailed coverage of risk management topics that this book does. This could become the book on quantitative risk management. Quantitative Risk Management Alexander J.
Overview Author s Reviews McLeish, Short Book Reviews of the International Statistical Institute "Praise for the previous edition: "A great summary of the latest techniques available within quantitative risk measurement.