EconPapers    
Economics at your fingertips  
 

Capital allocation with multivariate risk statistics with positive homogeneity and subadditivity

Linhai Wei and Yijun Hu

Communications in Statistics - Theory and Methods, 2023, vol. 52, issue 18, 6684-6694

Abstract: In this paper, we aim to discuss an axiom system for capital allocation with multivariate risk statistics. First, we introduce a class of multivariate risk statistics satisfying the properties of positive homogeneity and subadditivity, and provide the representations. Second, the axiom system of capital allocation with multivariate risk statistics are discussed. Specifically, the existence and the uniqueness of the capital allocation principles with positively homogeneous and subadditive risk statistics are studied. Finally, examples are also given to illustrate the proposed axioms for capital allocation with multivariate risk statistics, where the explicit capital allocation principles are derived for two kinds of multivariate risk statistics based on mean and standard deviation. The proposed capital allocations with multivariate risk statistics directly base on the samples of the random vectors, and thus they are more tractable than those with multivariate risk measures.

Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2022.2032173 (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:52:y:2023:i:18:p:6684-6694

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

DOI: 10.1080/03610926.2022.2032173

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:52:y:2023:i:18:p:6684-6694