Implementing Value-at-Risk

Contents

Preface

1 Defining risk and VAR

2 Covariance

3 Calculating VAR using simulation

4 Measurement of volatility and correlation

5 Implementing value at risk

6 Stress testing

7 Managing risk with VAR

8 Risk adjusted performance measurement

9 Regulators and risk management

10 Introduction to the spreadsheets

References and further reading

Index

This is a basic introduction to VaR that covers linear, Monte Carlo and historical VaR measures in detail. When it first came out, it offered a refreshing alternative to existing books, which largely mimicked the tone of the RiskMetrics documentation. It also addressed certain topics that neither RiskMetrics nor existing books addressed. These included a more-than-passing discussion of principal component techniques. It also explained how to "fix" non-positive-definite covariance matrices.

Today, the book is out of date. Compared to a new generation of books on market risk management—including Dowd (2002), Holton (2003), and Allen (2003)—it has little to recommend it.

For related books, see sections:

Risk Management - General

Risk Management - Market Risk

Financial Engineering - Basic Theory

Other Topics - Trading

 

 

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