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Overconfidence and the Political and Financial Behavior of a Representative Sample

Author

Listed:
  • Ciril Bosch-Rosa
  • Bernhard Kassner
  • Steffen Ahrens

Abstract

We study the relationship between overconfidence and the political and financial behavior of a nationally representative sample. Consistent with theoretical predictions, our findings indicate that excessive confidence in one's judgment is associated with lower portfolio diversification, greater stock price forecasting errors, and more extreme political views. We also find that overconfidence correlates with an increased likelihood of voting absenteeism. Importantly, our analysis bridges the gap between the financial and political literature by showing that overprecision-induced behavior in the financial domain is associated with overprecise behavior in the political domain, and vice versa. In a companion survey that elicits overconfidence across various knowledge domains, we further show that overconfidence is consistent within respondents and across knowledge domains. All of these findings suggest that overconfidence is a pervasive bias that permeates many aspects of people's lives.

Suggested Citation

  • Ciril Bosch-Rosa & Bernhard Kassner & Steffen Ahrens, 2024. "Overconfidence and the Political and Financial Behavior of a Representative Sample," Berlin School of Economics Discussion Papers 0051, Berlin School of Economics.
  • Handle: RePEc:bdp:dpaper:0051
    DOI: 10.48462/opus4-5608
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    References listed on IDEAS

    as
    1. John A. List & Azeem M. Shaikh & Yang Xu, 2019. "Multiple hypothesis testing in experimental economics," Experimental Economics, Springer;Economic Science Association, vol. 22(4), pages 773-793, December.
    2. Kai Duttle, 2016. "Cognitive Skills And Confidence: Interrelations With Overestimation, Overplacement And Overprecision," Bulletin of Economic Research, Wiley Blackwell, vol. 68(S1), pages 42-55, December.
    3. Benos, Alexandros V., 1998. "Aggressiveness and survival of overconfident traders," Journal of Financial Markets, Elsevier, vol. 1(3-4), pages 353-383, September.
    4. William Morrison & Dmitry Taubinsky, 2023. "Rules of Thumb and Attention Elasticities: Evidence from Under- and Overreaction to Taxes," The Review of Economics and Statistics, MIT Press, vol. 105(5), pages 1110-1127, September.
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    Keywords

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    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

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