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Value at Risk For Derivatives
Value at risk (VAR) is close to becoming the method of choice for assessing risk exposures faced by financial firms. A new technique is presented that extends the range of assets and returns distributions that can be handled conveniently in a VAR calculation. The framework easily accommodates non-li...
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Published in: | The Journal of derivatives 1999-04, Vol.6 (3), p.7-26 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Value at risk (VAR) is close to becoming the method of choice for assessing risk exposures faced by financial firms. A new technique is presented that extends the range of assets and returns distributions that can be handled conveniently in a VAR calculation. The framework easily accommodates non-linear payoffs, fat-tailed returns distributions, and stochastic volatility. It begins by computing the characteristic function for each asset's return. These are aggregated into the characteristic function for the whole portfolio, which is used to determine the first 4 moments of the returns distribution. Finally, an approximating distribution selected from a general family of distributions is fitted to these moments, and becomes the distribution used for VAR calculations. |
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ISSN: | 1074-1240 2168-8524 |
DOI: | 10.3905/jod.1999.319116 |