EconPapers    
Economics at your fingertips  
 

A composition between risk and deviation measures

Marcelo Righi ()

Annals of Operations Research, 2019, vol. 282, issue 1, No 13, 299-313

Abstract: Abstract The intuition of risk is based on two main concepts: loss and variability. In this paper, we present a composition of risk and deviation measures, which contemplate these two concepts. Based on the proposed Limitedness axiom, we prove that this resulting composition, based on properties of the two components, is a coherent risk measure. Similar results for the cases of convex and co-monotone risk measures are exposed. We also provide examples of known and new risk measures constructed under this framework in order to highlight the importance of our approach, especially the role of the Limitedness axiom.

Keywords: Coherent risk measures; Generalized deviation measures; Convex risk measures; Co-monotone coherent risk measures; Limitedness (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (19)

Downloads: (external link)
http://link.springer.com/10.1007/s10479-018-2913-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
Working Paper: A composition between risk and deviation measures (2018) Downloads
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:spr:annopr:v:282:y:2019:i:1:d:10.1007_s10479-018-2913-0

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1007/s10479-018-2913-0

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:annopr:v:282:y:2019:i:1:d:10.1007_s10479-018-2913-0