Journalartikel

Self-attribution bias and overconfidence among nonprofessional traders


AutorenlisteCzaja, Daniel; Roeder, Florian

Jahr der Veröffentlichung2020

Seiten186-198

ZeitschriftThe Quarterly Review of Economics and Finance

Bandnummer78

ISSN1062-9769

eISSN1878-4259

DOI Linkhttps://doi.org/10.1016/j.qref.2020.02.003

VerlagElsevier


Abstract
We investigate consequences of the self-attribution bias for nonprofessional traders. By applying a textual analysis of more than 44,000 public comments on a large social trading platform, we contribute to empirical literature on investment and trading behavior in three ways: First, we show that one component of the self-attribution bias, the self-enhancement bias, leads to subsequent underperformance. Second, results support the theory that traders become overconfident due to biased self-enhancement. Third, we find that traders' social trading portfolios attract higher investment flows from investors when showing self-enhancement biased behavior. (C) 2020 Board of Trustees of the University of Illinois. Published by Elsevier Inc. All rights reserved.



Zitierstile

Harvard-ZitierstilCzaja, D. and Roeder, F. (2020) Self-attribution bias and overconfidence among nonprofessional traders, The Quarterly Review of Economics and Finance, 78, pp. 186-198. https://doi.org/10.1016/j.qref.2020.02.003

APA-ZitierstilCzaja, D., & Roeder, F. (2020). Self-attribution bias and overconfidence among nonprofessional traders. The Quarterly Review of Economics and Finance. 78, 186-198. https://doi.org/10.1016/j.qref.2020.02.003


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