Introduction to Market Risk Measurement

Informationen zum Autor KEVIN DOWD is Professor of Financial Risk Management at Nottingham University Business School and a member of the School's Centre for Research in Risk and Insurance Studies. Klappentext * Includes a CD-ROM that contains Excel workbooks and a Matlab manual and software.* Covers the subject without advanced or exotic material. Zusammenfassung Gives an introduction to market risk that is geared towards the needs of the postgraduate students studying financial risk management. This title includes a CD-ROM that contains Excel workbooks and a Matlab manual and software. Inhaltsverzeichnis Preface xi Acknowledgements xix 1 The Risk Measurement Revolution 1 1.1 Contributory Factors 1 1.1.1 A Volatile Environment 1 1.1.2 Growth in Trading Activity 2 1.1.3 Advances in Information Technology 2 1.2 Risk Measurement Before VaR 3 1.2.1 Gap Analysis 3 1.2.2 Duration Analysis 4 1.2.3 Scenario Analysis 4 1.2.4 Portfolio Theory 5 1.2.5 Derivatives Risk Measures 6 1.3 Value at Risk 7 1.3.1 The Origin and Development of VaR 7 1.3.2 Attractions of VaR 10 1.3.3 Criticisms of VaR 11 1.4 Recommended Reading 12 2 Measures of Financial Risk 13 2.1 The Mean-Variance Framework for Measuring Financial Risk 13 2.1.1 The Normality Assumption 13 2.1.2 Limitations of the Normality Assumption 15 2.1.3 Traditional Approaches to Financial Risk Measurement 18 2.1.3.1 Portfolio Theory 18 2.1.3.2 Duration Approaches to Fixed-income Risk Measurement 18 2.2 Value at Risk 19 2.2.1 VaR Basics 19 2.2.2 Choice of VaR Parameters 24 2.2.3 Limitations of VaR as a Risk Measure 25 2.2.3.1 VaR Uninformative of Tail Losses 25 2.2.3.2 VaR Can Create Perverse Incentive Structures 26 2.2.3.3 VaR Can Discourage Diversification 27 2.2.3.4 VaR Not Sub-additive 27 2.3 Expected Tail Loss 28 2.3.1 Coherent Risk Measures 28 2.3.2 The Expected Tail Loss 29 2.4 Conclusions 33 2.5 Recommended Reading 33 3 Basic Issues in Measuring Market Risk 35 3.1 Data 35 3.1.1 Profit/Loss Data 35 3.1.2 Loss/Profit Data 35 3.1.3 Arithmetic Returns Data 36 3.1.4 Geometric Returns Data 36 3.2 Estimating Historical Simulation VaR 36 3.3 Estimating Parametric VaR 37 3.3.1 Estimating VaR with Normally Distributed Profits/Losses 38 3.3.2 Estimating VaR with Normally Distributed Arithmetic Returns 39 3.3.3 Estimating Lognormal VaR 40 3.4 Estimating Expected Tail Loss 42 3.5 Summary 44 Appendix: Mapping Positions to Risk Factors 45 A3.1 Selecting Core Instruments or Factors 46 A3.1.1 Selecting Core Instruments 46 A3.1.2 Selecting Core Factors 47 A3.2 Mapping Positions and VaR Estimation 47 A3.2.1 The Basic Building Blocks 47 A3.2.1.1 Basic FX Positions 47 A3.2.1.2 Basic Equity Positions 48 A3.2.1.3 Zero-coupon Bonds 50 A3.2.1.4 Basic Forward/Futures 51 A3.2.2 More Complex Positions 52 A3.3 Recommended Reading 53 4 Non-parametric VaR and ETL 55 4.1 Compiling Historical Simulation Data 55 4.2 Estimation of Historical Simulation VaR and ETL 56 4.2.1 Basic Historical Simulation 56 4.2.2 Estimating Curves and Surfaces for VaR and ETL 57 4.3 Estimating Confidence Intervals for Historical Simulation VaR and ETL 58 4.3.1 A Quantile Standard Error Approach to the Estimation of Confidence Intervals for HS VaR and ETL 58 4.3.2 An Order Statistics Approach to the Estimation of Confidence Intervals for HS VaR and ETL 58 4.3.3 A Bootstrap Approach to the Estimation of Confidence Intervals for HS VaR and ETL 59 4.4 Weighted H...

Product details

• Authors: K Dowd, Kevin Dowd, Kevin K. Dowd, DOWD KEVIN K
• Publisher: Wiley, John and Sons Ltd
• Languages: English
• Product format: Paperback / Softback
• Released: 29.08.2002
• EAN: 9780470847480
• ISBN: 978-0-470-84748-0
• No. of pages: 304
• Series: Wiley Finance; Wiley Finance Editions; The Wiley Finance Series; Wiley Finance; The Wiley Finance Series
• Subjects: Social sciences, law, business > Business > Management; Risikomanagement, Kapitalmarkt, Value at Risk, Allg. Finanz- u. Anlagewesen, Finance & Investments, Finanz- u. Anlagewesen