Generalized Subjective Lexicographic Expected Utility Representation
Statistics Theory
2016-05-26 v1 Probability
Mathematical Finance
Statistics Theory
Abstract
We provide foundations for decisions in face of unlikely events by extending the standard framework of Savage to include preferences indexed by a family of events. We derive a subjective lexicographic expected utility representation which allows for infinitely many lexicographically ordered levels of events and for event-dependent attitudes toward risk. Our model thus provides foundations for models in finance that rely on different attitudes toward risk (e.g. Skiadas [9]) and for off-equilibrium reasonings in infinite dynamic games, thus extending and generalizing the analysis in Blume, Brandenburger and Dekel [3].
Cite
@article{arxiv.1605.07680,
title = {Generalized Subjective Lexicographic Expected Utility Representation},
author = {Hugo Cruz-Sanchez},
journal= {arXiv preprint arXiv:1605.07680},
year = {2016}
}
Comments
Originally available on November 18, 2014, in my website (https://sites.google.com/site/hugocruzsanchez/)