Comparative Ross risk aversion in the presence of mean dependent risks

Georges DIONNE, Jingyuan LI

Research output: Journal PublicationsJournal Article (refereed)

1 Scopus Citations

Abstract

This paper studies comparative risk aversion between risk averse agents in the presence of a background risk. Our contribution differs from most of the literature in two respects. First, background risk does not need to be additive or multiplicative. Second, the two risks are not necessarily mean independent, and may be conditional expectation increasing or decreasing. We show that our order of cross Ross risk aversion is equivalent to the order of partial risk premium, while our index of decreasing cross Ross risk aversion is equivalent to decreasing partial risk premium. These results generalize the comparative risk aversion model developed by Ross for mean independent risks. Our theoretical results are related to utility functions having the n-switch independence property.
Original languageEnglish
Pages (from-to)128-135
Number of pages8
JournalJournal of Mathematical Economics
Volume51
Early online date27 Aug 2013
DOIs
Publication statusPublished - Mar 2014

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Bibliographical note

This research was supported by the Faculty Research Grand of Lingnan University under Research Project No. DR12A9 and the Canada Research Chair in Risk Management.
This paper is also available at Social Science Research Network at http://ssrn.com/abstract=2002047

Keywords

  • Comparative cross Ross risk aversion
  • Decreasing cross Ross risk aversion
  • Dependent background risk
  • N-switch independence property
  • Partial risk premium

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