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008 220304b ||||| |||| 00| 0 eng d
020 _a9780691166278
082 _a658.1550151
_bMCN
100 _aMcNeil, Alexander J.
_94647
245 _aQuantitative risk management: concepts, techniques and tools
260 _bPrinceton University Press
_aNew Jersey
_c2015
300 _axix, 699 p.
365 _aUSD
_b95.00
490 _aPrinceton series in finance
520 _aThis 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
650 _aFinance--Mathematical models
_9180
650 _aMathematical statistics
_9837
650 _aRisk management--Mathematical models
_95828
650 _aInsurance--Mathematical models
_95829
700 _aFrey, Rüdiger
_95830
700 _aEmbrechts, Paul
_95831
942 _2ddc
_cBK