Description
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
Table of Contents
I An Introduction to Quantitative Risk Management
1 Risk in Perspective
2 Basic Concepts in Risk Management
3 Empirical Properties of Financial Data II Methodology
4 Financial Time Series
5 Extreme Value Theory
6 Multivariate Models
7 Copulas and Dependence
8 Aggregate Risk III Applications
9 Market Risk
10 Credit Risk
11 Portfolio Credit Risk Management
12 Portfolio Credit Derivatives
13 Operational Risk and Insurance Analytics IV Special Topics
14 Multivariate Time Series
15 Advanced Topics in Multivariate Modelling
16 Advanced Topics in Extreme Value Theory
17 Dynamic Portfolio Credit Risk Models and Counterparty Risk Appendix
A.1 Miscellaneous Definitions and Results
A.2 Probability Distributions
A.3 Likelihood InferenceReferences
Index
Alexander J. McNeil is professor of actuarial mathematics and statistics at Heriot-Watt University in Edinburgh. Rüdiger Frey is professor of mathematics and finance at the Vienna University of Economics and Business. Paul Embrechts is professor of mathematics at the Swiss Federal Institute of Technology in Zurich.