Glossary/Investor behavior

Overconfidence Bias

Also known as Illusion of knowledge

Overconfidence bias is the tendency to overestimate the accuracy of one’s knowledge, forecasts, control, or investment skill.

Editorially reviewed 2026-07-30

Why overconfidence bias matters

It can increase concentration, leverage, turnover, weak diversification, and underestimation of downside.

How it is applied

Investors use calibrated probabilities, base rates, pre-mortems, error tracking, independent review, position limits, and attribution net of costs.

Portfolio example

A manager interprets a market-driven gain as stock-picking skill and doubles position sizes without reviewing attribution.

How to interpret it

Confidence should correspond to a documented forecasting record and uncertainty range.

Limitations and common misconceptions

Measured confidence can be domain-specific, and decisive action is not necessarily bias. Controls can also suppress genuine expertise.

Sources and further reading