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Herding and Contrarian Behavior in Financial Markets: An Internet Experiment

Authors: Drehmann, Mathias; Oechssler, Joerg; Roider, Andreas;

Herding and Contrarian Behavior in Financial Markets: An Internet Experiment

Abstract

We report results of an Internet experiment designed to test the theory of informational cascades in financial markets (Christopher Avery and Peter Zemsky, 1998). More than 6,400 subjects, including a subsample of 267 consultants from an international consulting firm, participated in the experiment. We find that the presence of a flexible market price prevents herding. The presence of contrarian behavior distorts prices, however, and even after 20 decisions, convergence to the fundamental value is rare. We also report some interesting differences with respect to subjects' fields of study. Reassuringly, the behavior of the consultants turns out to be not significantly different from that of the remaining subjects.

Keywords

herding, 330, herd behavior, informational cascades, informational cascades, herding, contrarians, experiment, internet, Experiment, G1, contrarians, C92, Informationsverhalten, informational cascades; herding; contrarians; experiment; internet, G12, Deutschland, C99, experiment, ddc:330, G14, contrarian investors, 330 Wirtschaft, market efficiency, Rationales Verhalten, herding behavior, Anlageverhalten, D8, internet, internet experiment, herd behavior, informational cascades, contrarian investors, market efficiency, internet experiment, jel: jel:G1, jel: jel:C92, jel: jel:C99, jel: jel:G12, jel: jel:G14, jel: jel:D8

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
151
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102
173
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