Risk bounds with additional information on functionals of the risk vector
Rüschendorf L. ()
Additional contact information
Rüschendorf L.: Ludger Rüschendorf, University of Freiburg, Eckerstraße 1, 79104 Freiburg, Germany
Dependence Modeling, 2018, vol. 6, issue 1, 102-113
Abstract:
We consider the problem of determining risk bounds for the Value at Risk for risk vectors X where besides the marginal distributions also information on the distribution or on the expectation of some functionals Tj(X), 1 ≤ j ≤ m, is available. In particular this formulation includes the case where information on subgroup sums or maxima or on the correlations or covariances is available. Based on the method of dual bounds we obtain improved risk bounds compared to the marginal case. In general the explicit calculation of the dual bounds poses a challenge. We discuss various forms of relaxation of these bounds which are accessible and in some cases even lead to sharp bounds.
Keywords: risk bounds; Value-at-Risk; dependence uncertainty; Fréchet class (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://doi.org/10.1515/demo-2018-0006 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:vrs:demode:v:6:y:2018:i:1:p:102-113:n:6
DOI: 10.1515/demo-2018-0006
Access Statistics for this article
Dependence Modeling is currently edited by Giovanni Puccetti
More articles in Dependence Modeling from De Gruyter
Bibliographic data for series maintained by Peter Golla ().