The Confidence Trap: Overconfidence, Miscalibration, and the Illusion of Control in Financial Decision-Making

Rational-expectations models of financial markets assume that agents update their beliefs ac-cording to Bayes’ rule and hold subjective probabilities that are, on average, well calibrated toobjective outcomes. A substantial body of evidence from psychology and behavioral financeshows that human judgment departs systematically from this benchmark: individuals overes-timate their own ability, overplace their ability relative to others, and hold excessive precisionin their beliefs (Moore & Healy, 2008). This paper examines the mathematics of calibration,the psychological origins of the illusion of control (Langer, 1975), and the empirical footprintof overconfidence in financial markets, including excessive trading volume and its associ-ated performance penalty (Odean, 1998; Barber & Odean, 2000, 2001), the winner’s cursein common-value auctions (Thaler, 1988), and asset-pricing models of investor overreactionbuilt on biased self-attribution (Daniel, Hirshleifer, & Subrahmanyam, 1998). We then exam-ine why overconfidence persists despite its costs, surveying evolutionary game-theoretic ev-idence that overconfidence can be a fitness-maximizing strategy under resource competition(Johnson & Fowler, 2011) and the metacognitive deficits that prevent the least skilled fromrecognizing their own incompetence (Kruger & Dunning, 1999). We conclude with individ-ual debiasing techniques and structural choice-architecture interventions designed to narrowthe resulting Rationality Gap.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-21
DOI
https://doi.org/10.5281/zenodo.22870673
Primary Topic
Decision-Making and Behavioral Economics
Type
preprint
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preprint

The Confidence Trap: Overconfidence, Miscalibration, and the Illusion of Control in Financial Decision-Making

Karim T. Mansour Karim T. Mansour
Zenodo (CERN European Organization for Nuclear Research)
Decision-Making and Behavioral Economics
preprint

The Confidence Trap: Overconfidence, Miscalibration, and the Illusion of Control in Financial Decision-Making

Karim T. Mansour Karim T. Mansour
preprint en

Abstract

Rational-expectations models of financial markets assume that agents update their beliefs ac-cording to Bayes’ rule and hold subjective probabilities that are, on average, well calibrated toobjective outcomes. A substantial body of evidence from psychology and behavioral financeshows that human judgment departs systematically from this benchmark: individuals overes-timate their own ability, overplace their ability relative to others, and hold excessive precisionin their beliefs (Moore & Healy, 2008). This paper examines the mathematics of calibration,the psychological origins of the illusion of control (Langer, 1975), and the empirical footprintof overconfidence in financial markets, including excessive trading volume and its associ-ated performance penalty (Odean, 1998; Barber & Odean, 2000, 2001), the winner’s cursein common-value auctions (Thaler, 1988), and asset-pricing models of investor overreactionbuilt on biased self-attribution (Daniel, Hirshleifer, & Subrahmanyam, 1998). We then exam-ine why overconfidence persists despite its costs, surveying evolutionary game-theoretic ev-idence that overconfidence can be a fitness-maximizing strategy under resource competition(Johnson & Fowler, 2011) and the metacognitive deficits that prevent the least skilled fromrecognizing their own incompetence (Kruger & Dunning, 1999). We conclude with individ-ual debiasing techniques and structural choice-architecture interventions designed to narrowthe resulting Rationality Gap.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Decision-Making and Behavioral Economics
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The Confidence Trap: Overconfidence, Miscalibration, and the Illusion of Control in Financial Decision-Making — Karim T. Mansour Karim T. Mansour · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS