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Artificial economic life: a simple model of a stockmarket
dc.contributor.authorPalmer, R. G.en_US
dc.contributor.authorBrian Arthur, W.en_US
dc.contributor.authorHolland, John Henryen_US
dc.contributor.authorLeBaron, Blakeen_US
dc.contributor.authorTayler, Paulen_US
dc.date.accessioned2006-04-10T17:58:17Z
dc.date.available2006-04-10T17:58:17Z
dc.date.issued1994-08-01en_US
dc.identifier.citationPalmer, R. G., Brian Arthur, W., Holland, John H., LeBaron, Blake, Tayler, Paul (1994/08/01)."Artificial economic life: a simple model of a stockmarket." Physica D: Nonlinear Phenomena 75(1-3): 264-274. <http://hdl.handle.net/2027.42/31402>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6TVK-46TY4NH-M/2/fe28bac43a9e0b795ac7143271391aeeen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/31402
dc.description.abstractWe describe a model of a stockmarket in which independent adaptive agents can buy and sell stock on a central market. The overall market behavior, such as the stock price time series, is an emergent property of the agents' behavior. This approach to modelling a market is contrasted with conventional rational expectations approaches. Our model does not necessarily converge to an equilibrium, and can show bubbles, crashes, and continued high trading volume.en_US
dc.format.extent1070795 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleArtificial economic life: a simple model of a stockmarketen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPhysicsen_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumSanta Fe Institute, 1660 Old Pecos Trail, Suite A, Santa Fe, NM 87501, USA; Division of Computer Science & Engineering, University of Michigan, Ann Arbor, MI 48103, USAen_US
dc.contributor.affiliationotherSanta Fe Institute, 1660 Old Pecos Trail, Suite A, Santa Fe, NM 87501, USA; Department of Physics, Duke University, Durham, NC 27708-0305, USAen_US
dc.contributor.affiliationotherSanta Fe Institute, 1660 Old Pecos Trail, Suite A, Santa Fe, NM 87501, USA; Food Research Institute, Stanford University, Stanford, CA 94305-6084, USAen_US
dc.contributor.affiliationotherSanta Fe Institute, 1660 Old Pecos Trail, Suite A, Santa Fe, NM 87501, USAen_US
dc.contributor.affiliationotherCoopers & Lybrand Deloitte MCS, Hillgate House, 26 Old Bailey, London EC4M 7PL, UKen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/31402/1/0000319.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0167-2789(94)90287-9en_US
dc.identifier.sourcePhysica D: Nonlinear Phenomenaen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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