2000
DOI: 10.1016/s0927-5398(00)00011-6
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Sensitivity analysis of Values at Risk

Abstract: Ž. The aim of this paper is to analyze the sensitivity of Value at Risk VaR with respect to portfolio allocation. We derive analytical expressions for the first and second derivatives of the VaR, and explain how they can be used to simplify statistical inference and to perform a local analysis of the VaR. An empirical illustration of such an analysis is given for a portfolio of French stocks. q

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Cited by 334 publications
(183 citation statements)
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“…The existence of the directional derivative (2.2) is analyzed in a number of papers, e.g. Gourieroux et al (2000), Tasche (2002), Fischer (2003) and Carlier (2008). Alternative allocation techniques have been explored in the actuarial sciences, see, for example, Myers and Read (2001) and Dhaene et al (2003).…”
Section: On the Axiomatization Of Capital Allocationmentioning
confidence: 99%
“…The existence of the directional derivative (2.2) is analyzed in a number of papers, e.g. Gourieroux et al (2000), Tasche (2002), Fischer (2003) and Carlier (2008). Alternative allocation techniques have been explored in the actuarial sciences, see, for example, Myers and Read (2001) and Dhaene et al (2003).…”
Section: On the Axiomatization Of Capital Allocationmentioning
confidence: 99%
“…45-47;Derman 1996). Errors in describing or estimating the distribution of losses can profoundly affect the accuracy of a risk measure (Gourieroux et al 2000). "Broadly speaking, model risk can be attributed to either an incorrect model or to an incorrect implementation of a model" (Buraschi andCorielle 2005, p. 2884).…”
Section: Introductionmentioning
confidence: 99%
“…As a response, Arzac and Bawa (1977) use a nonparametric model for the asset returns distribution. Later, Gourieroux et al (2000) also model the portfolio returns distribution using a nonparametric model. However, there is no need to model the entire distribution in order to obtain the probability of large losses.…”
Section: Introductionmentioning
confidence: 99%