EconPapers    
Economics at your fingertips  
 

Asymptotic analysis of tail distortion risk measure under the framework of multivariate regular variation

Guo-dong Xing and Xiaoli Gan

Communications in Statistics - Theory and Methods, 2020, vol. 49, issue 12, 2931-2941

Abstract: Under the framework of multivariate regular variation, we obtain the asymptotic ratio between the tail distortion risk measure for portfolio loss and the sum of value-at-risk for single loss by a different method from the one in Zhu and Li when the confidence level tends to one. In order to illustrate the derived result, a relevant example is given and the corresponding numerical simulation is also carried out.

Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2019.1584312 (text/html)
Access to full text is restricted to subscribers.

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:taf:lstaxx:v:49:y:2020:i:12:p:2931-2941

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20

DOI: 10.1080/03610926.2019.1584312

Access Statistics for this article

Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe

More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:lstaxx:v:49:y:2020:i:12:p:2931-2941