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dc.contributor.authorOrr, H. Allen
dc.contributor.authorLo, Andrew W
dc.contributor.authorZhang, Ruixun
dc.date.accessioned2018-04-09T19:46:51Z
dc.date.available2018-07-01T05:00:06Z
dc.date.issued2017-09
dc.identifier.issn1387-6996
dc.identifier.issn1573-6989
dc.identifier.urihttp://hdl.handle.net/1721.1/114640
dc.description.abstractWe propose an evolutionary framework for optimal portfolio growth theory in which investors subject to environmental pressures allocate their wealth between two assets. By considering both absolute wealth and relative wealth between investors, we show that different investor behaviors survive in different environments. When investors maximize their relative wealth, the Kelly criterion is optimal only under certain conditions, which are identified. The initial relative wealth plays a critical role in determining the deviation of optimal behavior from the Kelly criterion regardless of whether the investor is myopic across a single time period or maximizing wealth over an infinite horizon. We relate these results to population genetics, and discuss testable consequences of these findings using experimental evolution. Keywords: Kelly criterion, Portfolio optimization, Adaptive Markets Hypothesis, Evolutionary game theoryen_US
dc.publisherSpringer USen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/s10818-017-9253-zen_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceSpringer USen_US
dc.titleThe growth of relative wealth and the Kelly criterionen_US
dc.typeArticleen_US
dc.identifier.citationLo, Andrew W., et al. “The Growth of Relative Wealth and the Kelly Criterion.” Journal of Bioeconomics, vol. 20, no. 1, Apr. 2018, pp. 49–67.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentSloan School of Managementen_US
dc.contributor.mitauthorLo, Andrew W
dc.contributor.mitauthorZhang, Ruixun
dc.relation.journalJournal of Bioeconomicsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2018-03-23T05:43:12Z
dc.language.rfc3066en
dc.rights.holderSpringer Science+Business Media, LLC
dspace.orderedauthorsLo, Andrew W.; Orr, H. Allen; Zhang, Ruixunen_US
dspace.embargo.termsNen
dc.identifier.orcidhttps://orcid.org/0000-0003-2944-7773
dc.identifier.orcidhttps://orcid.org/0000-0002-6908-4236
mit.licenseOPEN_ACCESS_POLICYen_US


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