000 02385cam a2200301zu 4500
001 88807812
003 FRCYB88807812
005 20251020124055.0
006 m o d
007 cr un
008 251020s2005 fr | o|||||0|0|||eng d
020 _a9780691122557
035 _aFRCYB88807812
040 _aFR-PaCSA
_ben
_c
_erda
100 1 _aMcNeil, Alexander J.
245 0 1 _aQuantitative Risk Management
_bConcepts, Techniques, and Tools
_c['McNeil, Alexander J.', 'Frey, RĂ¼diger', 'Embrechts, Paul']
264 1 _bPrinceton University Press
_c2005
300 _a p.
336 _btxt
_2rdacontent
337 _bc
_2rdamdedia
338 _bc
_2rdacarrier
650 0 _a
700 0 _aMcNeil, Alexander J.
700 0 _aFrey, RĂ¼diger
700 0 _aEmbrechts, Paul
856 4 0 _2Cyberlibris
_uhttps://international.scholarvox.com/netsen/book/88807812
_qtext/html
_a
520 _aThe implementation of sound quantitative risk models is a vital concern for all financial institutions, and this trend has accelerated in recent years with regulatory processes such as Basel II. This book provides a comprehensive treatment of the theoretical concepts and modelling techniques of quantitative risk management and equips readers--whether financial risk analysts, actuaries, regulators, or students of quantitative finance--with practical tools to solve real-world problems. The authors cover methods for market, credit, and operational risk modelling; place standard industry approaches on a more formal footing; and describe recent developments that go beyond, and address main deficiencies of, current practice. The book's methodology draws on diverse quantitative disciplines, from mathematical finance through statistics and econometrics to actuarial mathematics. Main concepts discussed include loss distributions, risk measures, and risk aggregation and allocation principles. A main theme is the need to satisfactorily address extreme outcomes and the dependence of key risk drivers. The techniques required derive from multivariate statistical analysis, financial time series modelling, copulas, and extreme value theory. A more technical chapter addresses credit derivatives. Based on courses taught to masters students and professionals, this book is a unique and fundamental reference that is set to become a standard in the field.
999 _c1556310
_d1556310