Quantitative risk management : concepts, techniques and tools / Alexander J. McNeil, Rüdiger Frey, Paul Embrechts

By: Mcneil, AContributor(s): Frey, Rudiger | Embrechts, PMaterial type: TextTextSeries: Princeton series in financePublication details: Princeton : Princeton University Press, 2005 Description: XV, 538 p. ; 25 cmISBN: 0-691-12255-5Subject(s): Gestión del riesgo -- Modelos matemáticos | Valor extremo, Teoría del | Empresas (Finanzas) | Riesgo (Economía) -- Modelos matemáticos | ProbabilidadesSummary: The 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.Summary: Índice: Preface xiii CHAPTER 1: Risk in Perspective 1 1.1 Risk 1 1.1.1 Risk and Randomness 1 1.1.2 Financial Risk 2 1.1.3 Measurement and Management 3 1.2 A Brief History of Risk Management 5 1.2.1 From Babylon to Wall Street 5 1.2.2 The Road to Regulation 8 1.3 The New Regulatory Framework 10 1.3.1 Basel II 10 1.3.2 Solvency 2 13 1.4 Why Manage Financial Risk? 15 1.4.1 A Societal View 15 1.4.2 The Shareholder's View 16 1.4.3 Economic Capital 18 1.5 Quantitative Risk Management 19 1.5.1 The Nature of the Challenge 19 1.5.2 QRM for the Future 22 CHAPTER 2: Basic Concepts in Risk Management 25 2.1 Risk Factors and L... Etc.
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Monografías 02. BIBLIOTECA CAMPUS PUERTO REAL
658.14/MCN/qua (Browse shelf(Opens below)) Texto completo Checked out 31/01/2024 3742350592
Monografías 07. BIBLIOTECA CIENCIAS SOCIALES Y JURÍDICAS
658.14/MCN/qua (Browse shelf(Opens below)) Texto completo Checked out 31/01/2024 3742494201
Monografías 07. BIBLIOTECA CIENCIAS SOCIALES Y JURÍDICAS
658.14/MCN/qua (Browse shelf(Opens below)) Texto completo Checked out 31/01/2024 3742542998
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Bibliografía: p. [503]-527. - índice

The 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.

Índice: Preface xiii CHAPTER 1: Risk in Perspective 1 1.1 Risk 1 1.1.1 Risk and Randomness 1 1.1.2 Financial Risk 2 1.1.3 Measurement and Management 3 1.2 A Brief History of Risk Management 5 1.2.1 From Babylon to Wall Street 5 1.2.2 The Road to Regulation 8 1.3 The New Regulatory Framework 10 1.3.1 Basel II 10 1.3.2 Solvency 2 13 1.4 Why Manage Financial Risk? 15 1.4.1 A Societal View 15 1.4.2 The Shareholder's View 16 1.4.3 Economic Capital 18 1.5 Quantitative Risk Management 19 1.5.1 The Nature of the Challenge 19 1.5.2 QRM for the Future 22 CHAPTER 2: Basic Concepts in Risk Management 25 2.1 Risk Factors and L... Etc.

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