Investor Overconfidence in Experimental Asset Markets across Market States

Chris Meier and Lurion De Mello

Journal of Behavioral Finance, 2020, vol. 21, issue 4, 369-384

Abstract: This study explores how individual overconfidence adjusts after receiving extreme feedback that either supports or contradicts previous decision-making when buying or selling stocks. We find that highly contradicting feedback causes overconfidence to vanish as confidence declines sharply while supportive signals cause overconfidence to increase. Further evidence suggests that strong feedback impulses are associated with higher investor disagreement, supporting prior hypotheses that investors interpret such impulses differently. We also find that methodologies that measure overconfidence in prediction tasks systematically overstate confidence scores as respondents tend to fail to internalize stated confidence intervals appropriately.

Date: 2020
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DOI: 10.1080/15427560.2019.1692845

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