A novel multivariate risk measure: the Kendall VaR
Matthieu Garcin (),
Dominique Guegan () and
Bertrand Hassani ()
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Matthieu Garcin: Natixis Asset Management and LabEx ReFi
Dominique Guegan: Centre d'Economie de la Sorbonne and LabEx ReFi
Bertrand Hassani: Grupo Santander and Centre d'Economie de la Sorbonne and LabEx ReFi
Documents de travail du Centre d'Economie de la Sorbonne from Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne
The definition of multivariate Value at Risk is a challenging problem, whose most common solutions are given by the lower- and upper-orthant VaRs, which are based on copulas: the lower-orthant VaR is indeed the quantile of the multivariate distribution function, whereas the upper-orthant VaR is the quantile of the multivariate survival function. In this paper we introduce a new multivariate Value at Risk, referred to as the Kendall Value at Risk, which linkd the copula approach to an alternative definition of multivariate quantiles, known as the quantile surface, which is not used in finance, to our knowledge. We more precisely transform the notion of orthant VaR tanks to the Kendall function so as to get a multivariate VaR, that is to say a set of loss vectors, with some advantageous properties compared to the standard orthant VaR: i/ it is based on a total order, ii/ the probability level of the VaR is consistent with the probability measure of the set of the more severe loss vectors, iii/ the d-dimensional Vars based on the distribution function or on the survival function have vectors in common, which conciliate both upper- and lower-orthant approaches. We quantify the differences between this new Kendall VaR and orthant VaRs. In particular, we show that Kendall VaRs are less (respectively more) conservative than lower-orthant (resp. upper-orthant) VaRs. the definition and the properties of the Kendall VaR are illustrated using Gumbel and Clayton copulas with lognormal marginal distributions and several levels of risk
Keywords: Value at Risk; multivariate quantile; risk measure; Kendall function; copula; total order (search for similar items in EconPapers)
JEL-codes: C1 C6 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ban and nep-rmg
Date: 2017-01, Revised 2018-04
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Persistent link: https://EconPapers.repec.org/RePEc:mse:cesdoc:17008r
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