Cover image for Market Risk Analysis Volume IV: Value-at-Risk Models

Market Risk Analysis Volume IV: Value-at-Risk Models

Author Carol Alexander
Release Date: 2009/03/01
ISBN: 9780470997888
Topic:
0%
20
Chapters
0-1
Hours read
0k
Total Words
    Start Reading Now    
       Add to Wishlist       
View table of contents

Book Description

Written by leading market risk academic, Professor Carol Alexander, Value-at-Risk Models forms part four of the Market Risk Analysis four volume set. Building on the three previous volumes this book provides by far the most comprehensive, rigorous and detailed treatment of market VaR models. It rests on the basic knowledge of financial mathematics and statistics gained from Volume I, of factor models, principal component analysis, statistical models of volatility and correlation and copulas from Volume II and, from Volume III, knowledge of pricing and hedging financial instruments and of mapping portfolios of similar instruments to risk factors. A unifying characteristic of the series is the pedagogical approach to practical examples that are relevant to market risk analysis in practice.

All together, the Market Risk Analysis four volume set illustrates virtually every concept or formula with a practical, numerical example or a longer, empirical case study. Across all four volumes there are approximately 300 numerical and empirical examples, 400 graphs and figures and 30 case studies many of which are contained in interactive Excel spreadsheets available from the the accompanying CD-ROM . Empirical examples and case studies specific to this volume include:

Parametric linear value at risk (VaR)models: normal, Student t and normal mixture and their expected tail loss (ETL);

New formulae for VaR based on autocorrelated returns;

Historical simulation VaR models: how to scale historical VaR and volatility adjusted historical VaR;

Monte Carlo simulation VaR models based on multivariate normal and Student t distributions, and based on copulas;

Examples and case studies of numerous applications to interest rate sensitive, equity, commodity and international portfolios;

Decomposition of systematic VaR of large portfolios into standard alone and marginal VaR components;

Backtesting and the assessment of risk model risk;

Hypothetical factor push and historical stress tests, and stress testing based on VaR and ETL.

"The ebook version does not provide access to the companion files".

Table of Contents

  1. Cover Page
  2. Title Page
  3. Copyright
  4. Dedication
  5. Contents
  6. List of Figures
  7. List of Tables
  8. List of Examples
  9. Foreword
  10. Preface to Volume IV
    1. SUMMARY OF THE 2008 BANKING CRISIS
    2. CAUSES AND EFFECTS OF THE CRISIS
    3. WHAT COULD (OR SHOULD) HAPPEN NOW?
    4. ABOUT THE MARKET RISK ANALYSIS SERIES
    5. OUTLINE OF VOLUME IV
    6. ABOUT THE CD-ROM
    7. ACKNOWLEDGEMENTS
  11. IV.1: Value at Risk and Other Risk Metrics
    1. IV.1.1 INTRODUCTION
    2. IV.1.2 AN OVERVIEW OF MARKET RISK ASSESSMENT
    3. IV.1.3 DOWNSIDE AND QUANTILE RISK METRICS
    4. IV.1.4 DEFINING VALUE AT RISK
    5. IV.1.5 FOUNDATIONS OF VALUE-AT-RISK MEASUREMENT
    6. IV.1.6 RISK FACTOR VALUE AT RISK
    7. IV.1.7 DECOMPOSITION OF VALUE AT RISK
    8. IV.1.8 RISK METRICS ASSOCIATED WITH VALUE AT RISK
    9. IV.1.9 INTRODUCTION TO VALUE-AT-RISK MODELS
    10. IV.1.10 SUMMARY AND CONCLUSIONS
  12. IV.2: Parametric Linear VaR Models
    1. IV.2.1 INTRODUCTION
    2. IV.2.2 FOUNDATIONS OF NORMAL LINEAR VALUE AT RISK
    3. IV.2.3 NORMAL LINEAR VALUE AT RISK FOR CASH-FLOW MAPS
    4. IV.2.4 CASE STUDY: PC VALUE AT RISK OF A UK FIXED INCOME PORTFOLIO
    5. IV.2.5 NORMAL LINEAR VALUE AT RISK FOR STOCK PORTFOLIOS
    6. IV.2.6 SYSTEMATIC VALUE-AT-RISK DECOMPOSITION FOR STOCK PORTFOLIOS
    7. IV.2.7 CASE STUDY: NORMAL LINEAR VALUE AT RISK FOR COMMODITY FUTURES
    8. IV.2.8 STUDENT t DISTRIBUTED LINEAR VALUE AT RISK
    9. IV.2.9 LINEAR VALUE AT RISK WITH MIXTURE DISTRIBUTIONS
    10. IV.2.10 EXPONENTIAL WEIGHTING WITH PARAMETRIC LINEAR VALUE AT RISK
    11. IV.2.11 EXPECTED TAIL LOSS (CONDITIONAL VAR)
    12. IV.2.12 CASE STUDY: CREDIT SPREAD PARAMETRIC LINEAR VALUE AT RISK AND ETL
    13. IV.2.13 SUMMARY AND CONCLUSIONS
  13. IV.3: Historical Simulation
    1. IV.3.1 INTRODUCTION
    2. IV.3.2 PROPERTIES OF HISTORICAL VALUE AT RISK
    3. IV.3.3 IMPROVING THE ACCURACY OF HISTORICAL VALUE AT RISK
    4. IV.3.4 PRECISION OF HISTORICAL VALUE AT RISK AT EXTREME QUANTILES
    5. IV.3.5 HISTORICAL VALUE AT RISK FOR LINEAR PORTFOLIOS
    6. IV.3.6 ESTIMATING EXPECTED TAIL LOSS IN THE HISTORICAL VALUE-AT-RISK MODEL
    7. IV.3.7 SUMMARY AND CONCLUSIONS
  14. IV.4: Monte Carlo VaR
    1. IV.4.1 INTRODUCTION
    2. IV.4.2 BASIC CONCEPTS
    3. IV.4.3 MODELLING DYNAMIC PROPERTIES IN RISK FACTOR RETURNS
    4. IV.4.4 MODELLING RISK FACTOR DEPENDENCE
    5. IV.4.5 MONTE CARLO VALUE AT RISK FOR LINEAR PORTFOLIOS
    6. IV.4.6 SUMMARY AND CONCLUSIONS
  15. IV.5: Value at Risk for Option Portfolios
    1. IV.5.1 INTRODUCTION
    2. IV.5.2 RISK CHARACTERISTICS OF OPTION PORTFOLIOS
    3. IV.5.3 ANALYTIC VALUE-AT-RISK APPROXIMATIONS
    4. IV.5.4 HISTORICAL VALUE AT RISK FOR OPTION PORTFOLIOS
    5. IV.5.5 MONTE CARLO VALUE AT RISK FOR OPTION PORTFOLIOS
    6. IV.5.6 SUMMARY AND CONCLUSIONS
  16. IV.6: Risk Model Risk
    1. IV.6.1 INTRODUCTION
    2. IV.6.2 SOURCES OF RISK MODEL RISK
    3. IV.6.3 ESTIMATION RISK
    4. IV.6.4 MODEL VALIDATION
    5. IV.6.5 SUMMARY AND CONCLUSIONS
  17. IV.7: Scenario Analysis and Stress Testing
    1. IV.7.1 INTRODUCTION
    2. IV.7.2 SCENARIOS ON FINANCIAL RISK FACTORS
    3. IV.7.3 SCENARIO VALUE AT RISK AND EXPECTED TAIL LOSS
    4. IV.7.4 INTRODUCTION TO STRESS TESTING
    5. IV.7.5 A COHERENT FRAMEWORK FOR STRESS TESTING
    6. IV.7.6 SUMMARY AND CONCLUSIONS
  18. IV.8: Capital Allocation
    1. IV.8.1 INTRODUCTION
    2. IV.8.2 MINIMUM MARKET RISK CAPITAL REQUIREMENTS FOR BANKS
    3. IV.8.3 ECONOMIC CAPITAL ALLOCATION
    4. IV.8.4 SUMMARY AND CONCLUSIONS
  19. References
  20. Index
18.216.182.53