Quantitative Risk Management: Concepts, Techniques and Tools Revised edition

Alexander J. McNeil, Rüdiger Frey and Paul Embrechts
Additional contact information
Alexander J. McNeil: Heriot-Watt University, Edinburgh
Rüdiger Frey: Vienna University of Economics and Business
Paul Embrechts: Swiss Federal Institute of Technology, Zurich

in Economics Books from Princeton University Press

Abstract: This book provides the most comprehensive treatment of the theoretical concepts and modelling techniques of quantitative risk management. Whether you are a financial risk analyst, actuary, regulator or student of quantitative finance, Quantitative Risk Management gives you the practical tools you need to solve real-world problems. 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. The book’s methodology draws on diverse quantitative disciplines, from mathematical finance and statistics to econometrics and actuarial mathematics. 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. Fully revised and expanded to reflect developments in the field since the financial crisis Features shorter chapters to facilitate teaching and learning Provides enhanced coverage of Solvency II and insurance risk management and extended treatment of credit risk, including counterparty credit risk and CDO pricing Includes a new chapter on market risk and new material on risk measures and risk aggregation

Keywords: economics; textbook; finance; theory; risk; investment; analysis; academics; credit; aggregation; market; derivatives; actuarial; mathematics (search for similar items in EconPapers)
Date: 2015
Edition: 2
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Citations: View citations in EconPapers (524)

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