A separation theorem for the weak s-convex orders
Michel Denuit,
Liqun Liu and
Jack Meyer ()
Insurance: Mathematics and Economics, 2014, vol. 59, issue C, 279-284
Abstract:
The present paper extends to higher degrees the well-known separation theorem decomposing a shift in the increasing convex order into a combination of a shift in the usual stochastic order followed by another shift in the convex order. An application in decision making under risk is provided to illustrate the interest of the result.
Keywords: Integrated right and left tails; Upper and lower partial moments; Stationary excess operator; Khinchine representation; Risk increase; Risk aversion (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167668714001358
Full text for ScienceDirect subscribers only
Related works:
Working Paper: A separation theorem for the weak S-Convex Orders (2014) 
Working Paper: A separation theorem for the weak s-convex orders (2014)
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:insuma:v:59:y:2014:i:c:p:279-284
DOI: 10.1016/j.insmatheco.2014.10.008
Access Statistics for this article
Insurance: Mathematics and Economics is currently edited by R. Kaas, Hansjoerg Albrecher, M. J. Goovaerts and E. S. W. Shiu
More articles in Insurance: Mathematics and Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().