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dc.contributor.authorZhang, Ruixun
dc.contributor.authorBrennan, Thomas J.
dc.contributor.authorLo, Andrew W.
dc.date.accessioned2015-06-15T17:32:46Z
dc.date.available2015-06-15T17:32:46Z
dc.date.issued2014-12
dc.date.submitted2014-04
dc.identifier.issn0027-8424
dc.identifier.issn1091-6490
dc.identifier.urihttp://hdl.handle.net/1721.1/97424
dc.description.abstractRisk aversion is one of the most basic assumptions of economic behavior, but few studies have addressed the question of where risk preferences come from and why they differ from one individual to the next. Here, we propose an evolutionary explanation for the origin of risk aversion. In the context of a simple binary-choice model, we show that risk aversion emerges by natural selection if reproductive risk is systematic (i.e., correlated across individuals in a given generation). In contrast, risk neutrality emerges if reproductive risk is idiosyncratic (i.e., uncorrelated across each given generation). More generally, our framework implies that the degree of risk aversion is determined by the stochastic nature of reproductive rates, and we show that different statistical properties lead to different utility functions. The simplicity and generality of our model suggest that these implications are primitive and cut across species, physiology, and genetic origins.en_US
dc.language.isoen_US
dc.publisherNational Academy of Sciences (U.S.)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1073/pnas.1406755111en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceNational Academy of Sciences (U.S.)en_US
dc.titleThe origin of risk aversionen_US
dc.typeArticleen_US
dc.identifier.citationZhang, Ruixun, Thomas J. Brennan, and Andrew W. Lo. “The Origin of Risk Aversion.” Proceedings of the National Academy of Sciences 111, no. 50 (December 1, 2014): 17777–17782.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mathematicsen_US
dc.contributor.departmentSloan School of Managementen_US
dc.contributor.mitauthorZhang, Ruixunen_US
dc.contributor.mitauthorLo, Andrew W.en_US
dc.relation.journalProceedings of the National Academy of Sciencesen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsZhang, Ruixun; Brennan, Thomas J.; Lo, Andrew W.en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-6908-4236
dc.identifier.orcidhttps://orcid.org/0000-0003-2944-7773
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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