Component VAR for a non-normal world

It has become standard to account for non-normality when estimating portfolio value-at-risk, but there are few methods available to calculate the risk contributions of each component in a non-normal portfolio. Brian Peterson and Kris Boudt present a method for decomposing the VAR of a non-normal portfolio into the component risks of each position in a coherent and computationally convenient fashion. This work allows the decomposition of VAR in portfolios of a few to thousands of assets

Value-at-risk is the most widely used downside risk measure in finance. Garman (1997) introduced the concept of component VAR and showed that for portfolio VAR calculated under the assumption of normality, it is possible to decompose the portfolio risk into the risks introduced by each component of the portfolio. The finance literature on portfolio downside risk has recently realised that it is desirable that estimators of VAR can be decomposed in a financially meaningful way into the risk

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