On S-convexity and risk aversion

Marco Scarsini, Michel Denuit and Claude Lefevre

Post-Print from HAL

Abstract: The present note first discusses the concept of s-convex pain functions in decision theory. Then, the economic behavior of an agent with such a pain function is represented through the comparison of some recursive lotteries.

Keywords: Expected utility theory; Actuarial studies; s-convex pain functions; Stochastic s-convex orders; Insurance; Decision theory; Utility theory; Risk aversion; Lottery; Recursive method; Convex function; Assurance; Théorie décision; Théorie utilité; Aversion risque; Loterie; Méthode récursive; Fonction convexe (search for similar items in EconPapers)
Date: 2001
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Published in Theory and Decision, 2001, Vol. 50, N°3, pp. 239-248. ⟨10.1023/A:1010336203373⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Journal Article: On S-Convexity and Risk Aversion (2001)
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:hal:journl:hal-00540202

DOI: 10.1023/A:1010336203373

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().