Distorted expectiles risk measure and LP formulation
Sally Giuseppe Arcidiacono and
Damiano Rossello
Statistics & Probability Letters, 2025, vol. 226, issue C
Abstract:
Given a concave distortion function, we provide a dual representation of the expectiles based on rank-dependent expected utility theory. With possible application to portfolio management in mind, we also derive an LP formulation of the related optimization problem.
Keywords: Distortion risk measure; Distorted expectation; Rank-dependent expected utility theory; Expectiles; Generalized quantiles (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715225001415
Full text for ScienceDirect subscribers only
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:eee:stapro:v:226:y:2025:i:c:s0167715225001415
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
DOI: 10.1016/j.spl.2025.110496
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().