dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorBertella, Mario Augusto
dc.creatorPires, Felipe R.
dc.creatorFeng, Ling
dc.creatorStanley, Harry Eugene
dc.date2014-12-03T13:08:45Z
dc.date2016-10-25T20:09:07Z
dc.date2014-12-03T13:08:45Z
dc.date2016-10-25T20:09:07Z
dc.date2014-01-08
dc.date.accessioned2017-04-06T06:14:08Z
dc.date.available2017-04-06T06:14:08Z
dc.identifierPlos One. San Francisco: Public Library Science, v. 9, n. 1, 9 p., 2014.
dc.identifier1932-6203
dc.identifierhttp://hdl.handle.net/11449/111553
dc.identifierhttp://acervodigital.unesp.br/handle/11449/111553
dc.identifier10.1371/journal.pone.0083488
dc.identifierWOS:000329862500051
dc.identifierWOS000329862500051.pdf
dc.identifierhttp://dx.doi.org/10.1371/journal.pone.0083488
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/922329
dc.descriptionUsing a behavioral finance approach we study the impact of behavioral bias. We construct an artificial market consisting of fundamentalists and chartists to model the decision-making process of various agents. The agents differ in their strategies for evaluating stock prices, and exhibit differing memory lengths and confidence levels. When we increase the heterogeneity of the strategies used by the agents, in particular the memory lengths, we observe excess volatility and kurtosis, in agreement with real market fluctuations-indicating that agents in real-world financial markets exhibit widely differing memory lengths. We incorporate the behavioral traits of adaptive confidence and observe a positive correlation between average confidence and return rate, indicating that market sentiment is an important driver in price fluctuations. The introduction of market confidence increases price volatility, reflecting the negative effect of irrationality in market behavior.
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.languageeng
dc.publisherPublic Library Science
dc.relationPLOS ONE
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleConfidence and the Stock Market: An Agent-Based Approach
dc.typeOtro


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