On s-convexity and risk aversion
| Autor: | Scarsini, Marco, Denuit, Michel, Lefevre, Claude |
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| Přispěvatelé: | Groupement de Recherche et d'Etudes en Gestion à HEC (GREGH), Ecole des Hautes Etudes Commerciales (HEC Paris)-Centre National de la Recherche Scientifique (CNRS), Dipartimento di Scienze Economiche e Aziendali, Libera Università Internazionale degli Studi Sociali Guido Carli [Roma] (LUISS) |
| Rok vydání: | 2001 |
| Předmět: |
Aversion risque
Méthode récursive Quantitative Biology::Neurons and Cognition s-convex pain functions Fonction convexe Physics::Medical Physics Assurance Risk aversion Computer Science::Human-Computer Interaction Computer Science::Digital Libraries Stochastic s-convex orders Decision theory Lottery Computer Science::Robotics Expected utility theory Insurance Convex function Théorie décision [SHS.ECO.ECO]Humanities and Social Sciences/Economics and Finance/domain_shs.eco.eco Recursive method Théorie utilité Actuarial studies Loterie Utility theory |
| Zdroj: | Theory and Decision Theory and Decision, Springer Verlag, 2001, Vol. 50, N°3, pp. 239-248. ⟨10.1023/A:1010336203373⟩ |
| ISSN: | 0040-5833 1573-7187 |
| DOI: | 10.1023/A:1010336203373⟩ |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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