Measuring Market Risk [[electronic resource]]

• Autore: Dowd Kevin
• Pubblicazione: Chichester, : Wiley, 2007
• Edizione: 2nd ed.
• Descrizione fisica: 1 online resource (412 p.)
• Disciplina: 332.632042
• Soggetto topico: Financial futures - Mathematical models; Financial futures; Mathematical models; Portfolio management; Portfolio management - Mathematical models; Risk management; Risk management - Mathematical models; Investment & Speculation; Finance; Business & Economics
• Soggetto genere / forma: Electronic books.
• Note generali: Description based upon print version of record.
• Nota di contenuto: Measuring Market Risk; Contents; Preface to the Second Edition; Acknowledgements; 1 The Rise of Value at Risk; 1.1 The Emergence of Financial Risk Management; 1.2 Market Risk Measurement; 1.3 Risk Measurement Before VaR; 1.3.1 Gap Analysis; 1.3.2 Duration Analysis; 1.3.3 Scenario Analysis; 1.3.4 Portfolio Theory; 1.3.5 Derivatives Risk Measures; 1.4 Value at Risk; 1.4.1 The Origin and Development of VaR; 1.4.2 Attractions of VaR; 1.4.3 Criticisms of VaR; Appendix: Types of Market Risk; 2 Measures of Financial Risk; 2.1 The Mean-Variance Framework for Measuring Financial Risk ; 2.2 Value at Risk2.2.1 Basics of VaR; 2.2.2 Determination of the VaR Parameters; 2.2.3 Limitations of VaR as a Risk Measure; 2.3 Coherent Risk Measures; 2.3.1 The Coherence Axioms and their implications; 2.3.2 The Expected Shortfall; 2.3.3 Spectral Risk Measures; 2.3.4 Scenarios as Coherent Risk Measures; 2.4 Conclusions; Appendix 1: Probability Functions; Appendix 2: Regulatory Uses of VaR; 3 Estimating Market Risk Measures: An Introduction and Overview; 3.1 Data; 3.1.1 Profit/Loss Data; 3.1.2 Loss/Profit Data; 3.1.3 Arithmetic Return Data; 3.1.4 Geometric Return Data ; 3.2 Estimating Historical Simulation VaR3.3 Estimating Parametric VaR; 3.3.1 Estimating VaR with Normally Distributed Profits/Losses; 3.3.2 Estimating VaR with Normally Distributed Arithmetic Returns; 3.3.3 Estimating Lognormal VaR; 3.4 Estimating Coherent Risk Measures; 3.4.1 Estimating Expected Shortfall; 3.4.2 Estimating Coherent Risk Measures; 3.5 Estimating the Standard Errors of risk Measure Estimators; 3.5.1 Standard Errors of Quantile Estimators; 3.5.2 Standard Errors in Estimators of Coherent Risk Measures; 3.6 The Core Issues: An Overview; Appendix 1: Preliminary Data Analysis ; Appendix 2: Numerical Integration Methods4 Non-Parametric Approaches; 4.1 Compiling Historical Simulation Data; 4.2 Estimation of Historical Simulation VaR and ES; 4.2.1 Basic Historical Simulation; 4.2.2 Bootstrapped Historical Simulation; 4.2.3 Historical Simulation using Non-Parametric Density Estimation; 4.2.4 Estimating Curves and Surfaces for VAR and ES; 4.3 Estimating Confidence Intervals for Historical Simulation VaR and ES; 4.3.1 An Order-Statistics Approach to the Estimation of Confidence Intervals for HS VaR and ES ; 4.3.2 A Bootstrap Approach to the Estimation of Confidence Intervals for HS VaR and ES4.4 Weighted Historical Simulation; 4.4.1 Age-Weighted Historical Simulation; 4.4.2 Volatility-Weighted Historical Simulation; 4.4.3 Correlation-Weighted Historical Simulation; 4.4.4 Filtered Historical Simulation; 4.5 Advantages and Disadvantages of Non-Parametric Methods; 4.5.1 Advantages; 4.5.2 Disadvantages; 4.6 Conclusions; Appendix 1: Estimating Risk Measures with Order Statistics; Appendix 2: The Bootstrap; Appendix 3: Non-Parametric Density Estimation ; Appendix 4: Principal Components Analysis and Factor Analysis
• Sommario/riassunto: Fully revised and restructured, Measuring Market Risk, Second Edition includes a new chapter on options risk management, as well as substantial new information on parametric risk, non-parametric measurements and liquidity risks, more practical information to help with specific calculations, and new examples including Q&A's and case studies.
• Titolo autorizzato: Measuring Market Risk
• ISBN: 1-118-67348-4; 1-280-73872-3; 9786610738724; 0-470-01651-5
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910143700303321
• Lo trovi qui: Univ. Federico II
• Serie: The Wiley Finance Series