Bounds on integrals with respect to multivariate copulas
Preischl Michael
Additional contact information
Preischl Michael: Graz University of Technology, Institute of Analysis and Number Theory, Kopernikusgasse 24/II, 8010 Graz
Dependence Modeling, 2016, vol. 4, issue 1, 11
Abstract:
In this paper, we present a method to obtain upper and lower bounds on integrals with respect to copulas by solving the corresponding assignment problems (AP’s). In their 2014 paper, Hofer and Iacó proposed this approach for two dimensions and stated the generalization to arbitrary dimensons as an open problem. We will clarify the connection between copulas and AP’s and thus find an extension to the multidimensional case. Furthermore, we provide convergence statements and, as applications, we consider three dimensional dependence measures as well as an example from finance.
Keywords: Copulas; linear assignment problems; dependence measure; credit risk (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1515/demo-2016-0016 (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:4:y:2016:i:1:p:11:n:16
DOI: 10.1515/demo-2016-0016
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 ().