Measuring Market Risk

Kevin Dowd has written an excellent introduction to VaR and related risk measures that will appeal to several audiences. The first two-thirds of the book are a non-technical treatment of market risk measures that will be accessible to all financial professionals.

 

This refers to specific computational techniques that are explained in a "toolkit" that comprises the last third of the book.

The opening chapter describes standard risk measures such as duration and the Greeks. It discusses financial risk management and its origins. It then introduces VaR and assesses some of its strengths and weaknesses as a risk measurement tool. Subsequent chapters focus on how to calculate VaR. They describe VaR measures that support both quantile-of-loss and expected-tail-loss (ETL) VaR metrics.

As is his style, Dowd surveys the literature broadly, presenting a wealth of techniques discussed in the VaR literature. He cites references carefully, so you know where to follow-up for more details. In addition to standard linear, historical and Monte Carlo methods of calculating VaR, more specialized techniques are covered, including:

Contents

1. The Risk Measurement Revolution

2. Measures of Financial Risk

3. Basic Issues in Measuring Market Risk

4. Non-parametric VaR and ETL

5. Parametric VaR and ETL

6. Simulation Approaches to VaR and ETL Estimation

7. Lattice Approaches to VaR and ETL Estimation

8. Incremental and Component Risks

9. Estimating Liquidity Risks

10. Backtesting Market Risk Models

11. Stress Testing

12. Model Risk

Toolkit

1. Estimating the Standard Errors of Quantile Estimates

2. Estimating VaR and ETL Using Order Statistics

3. The Cornish-Fisher Expansion

4. The Bootstrap

5. Non-Parametric Density Estimation

6. Principal Components Analysis and Factor Analysis

7. Fat-Tailed Distributions

8. Extreme Value VaR and ETL

9. Simulation Methods

10. Forecasting Variances, Covariances and Correlations

11. Correlations and Copulas

reweighting schemes for historical VaR;

principal component remappings;

use of the Cornish-Fisher approximation when portfolio values are not normally distributed; and

incremental and component VaR.

Closing chapters address issues related to liquidity risk, backtesting, stress testing and model risk.

I highly recommend this book to anyone who wants a broad introduction to VaR. It will also appeal to researchers as a survey of the VaR literature. [Review based on first edition.]

For related books, see sections:

Risk Management - General

Risk Management - Market Risk

 

 

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