Biased Learning Creates Overconfidence

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摘要 Theaimofthispaperistodevelopamulti-periodeconomicmodeltointerprethowthepeoplebecomeoverconfidentbyabiasedlearningthatpeopletendtoattributethesuccesstotheirabilitiesandfailurestootherfactors.TheauthorssupposethattheinformedtraderdoesnotknowthedistributionoftheprecisionofhisprivatesignalandupdateshisbeliefonthedistributionoftheprecisionofhisknowledgebyBayer'srule.Theinformedtradercaneventuallyrecognizethevalueoftheprecisionofhisknowledgeafteranenoughlongtimebiasedlearning,butthevalueisoverestimatedwhichleadshimtobeoverconfident.Furthermore,basedonthedefinitionontheluckiertraderwhosucceedsthesametimesbuthasthelargervarianceoftheknowledge,theauthorsfindthattheluckiertheinformedtraderis,themoreoverconfidenthewillbe;thesmallerthebiasedlearningfactoris,themoreoverconfidenttheinformedtraderis.Theauthorsalsoobtainalinearequilibriumwhichcanexplainsomeanomaliesinfinancialmarkets,suchasthehighobservedtradingvolumeandexcessvolatility.
机构地区 不详
出版日期 2018年06月16日(中国期刊网平台首次上网日期,不代表论文的发表时间)
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