TY - BOOK
T1 - Quantitative risk management
T2 - Concepts, techniques and tools: Revised edition
AU - McNeil, Alexander J.
AU - Frey, Rüdiger
AU - Embrechts, Paul
PY - 2015/5/26
Y1 - 2015/5/26
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84937787962&partnerID=8YFLogxK
M3 - Book
AN - SCOPUS:84937787962
SN - 9781400866281
SN - 9780691166278
BT - Quantitative risk management
PB - Princeton University Press
ER -