Law invariant convex risk measures for portfolio vectors
Rüschendorf Ludger
Statistics & Risk Modeling, 2006, vol. 24, issue 1, 97-108
Abstract:
The class of all lawinvariant, convex risk measures for portfolio vectors is characterized. The building blocks of this class are shown to be formed by the maximal correlation risk measures. We further introduce some classes of multivariate distortion risk measures and relate them to multivariate quantile functionals and to an extension of the average value at risk measure.
Keywords: risk measures; portfolio vector; distortion; average value at risk (search for similar items in EconPapers)
Date: 2006
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1524/stnd.2006.24.1.97 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.
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:bpj:strimo:v:24:y:2006:i:1:p:97-108:n:6
Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/strm/html
DOI: 10.1524/stnd.2006.24.1.97
Access Statistics for this article
Statistics & Risk Modeling is currently edited by Robert Stelzer
More articles in Statistics & Risk Modeling from De Gruyter
Bibliographic data for series maintained by Peter Golla ().