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Information Dissemination and Aggregation in Asset Markets with Simple Intelligent Traders

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dc.creator Chan, Nicholas
dc.creator LeBaron, Blake
dc.creator Lo, Andrew
dc.creator Poggio, Tomaso
dc.date 2004-10-20T20:48:45Z
dc.date 2004-10-20T20:48:45Z
dc.date 1998-09-01
dc.date.accessioned 2013-10-09T02:48:26Z
dc.date.available 2013-10-09T02:48:26Z
dc.date.issued 2013-10-09
dc.identifier AIM-1646
dc.identifier CBCL-164
dc.identifier http://hdl.handle.net/1721.1/7174
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description Various studies of asset markets have shown that traders are capable of learning and transmitting information through prices in many situations. In this paper we replace human traders with intelligent software agents in a series of simulated markets. Using these simple learning agents, we are able to replicate several features of the experiments with human subjects, regarding (1) dissemination of information from informed to uninformed traders, and (2) aggregation of information spread over different traders.
dc.format 30 p.
dc.format 6592261 bytes
dc.format 5584146 bytes
dc.format application/postscript
dc.format application/pdf
dc.language en_US
dc.relation AIM-1646
dc.relation CBCL-164
dc.subject AI
dc.subject MIT
dc.subject Artificial Intelligence
dc.subject artificial traders
dc.subject artificial markets
dc.subject rational expectations model
dc.subject experimental economics
dc.title Information Dissemination and Aggregation in Asset Markets with Simple Intelligent Traders


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