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Part One. Motivation
Chapter 1. The Need for Risk Management Chapter 2. Lessons form Financial Disasters Chapter 3. Regulatory Capital Standards with VAR Part Two. Building Blocks Chapter 4. Measuring Financial Risk Chapter 5. Computing Value at Risk Chapter 6. Backtesting VAR Models Chapter 7. Portfolio Risk : Analytical Methods Chapter 8. Forecasting Risks and Correlations Part Three. Value-at-Risk Systems Chapter 9. VAR Methods Chapter 10. Stress Testing Chapter 11. Implementing Delta-Normal VAR Chapter 12. Simulation Methods Chapter 13. Credit Risk Chapter 14. Liquidity Risk Part Four. Applications of Risk-Management Systems Chapter 15. Using VAR to Measure and Control Risk Chapter 16. Using VAR for Active Risk Management Chapter 17. VAR in Investment Management Chapter 18. The Technology of Risk Chapter 19. Operational Risk Management Chapter 20. Integrated Risk Management Part Five. The Risk-Management Profession Chapter 21. Risk Management : Guidelines and Pitfalls Chapter 22. Conclusions |
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Waht is VaR? VaR is a method of assessing risk that uses standard statistical techiniqes routinely used in other techinical fiedls. Formally, VaR measures the worst expected loss over a given horizno under normal market conditions at a given confidence level. Based on firm scientific foundations, VaR provides users with a summary measure of market risk. ...
In contrast with traditional risk measures, VaR provides an aggressive view of a portfolio's risk that accounts for leverage, correlations and current positions. As a result, it is truly a forward-looking risk measure. VaR, however, applies not only to derivatives but to all financial instruments Furthermore, the methodology can also be broadened from market risk to other types of financial risks. --- Preface |