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Overconfidence bias

Also written Overconfidence

An emotional bias in which people place unwarranted faith in their own judgement and abilities — leading to underestimated risk, concentrated portfolios and excessive trading.

In plain language

Most people rate themselves better than average at driving, at judging people — and at picking stocks. They cannot all be right.

The workbook defines overconfidence bias as people demonstrating unwarranted larger faith in their own intuitive reasoning, judgements and cognitive abilities. With an illusion of superior knowledge, investors underestimate losses, blur the difference between skill and luck, and drift away from the principles of risk-return trade-off.

It gets worse in good times. Combined with self-attribution bias — taking credit for successes and blaming others for failures — people "confuse brain with bull market".

How it works

The workbook classifies overconfidence as an emotional bias, and describes a feedback loop: each success is attributed to skill, which fuels more confidence, which leads to bigger and more frequent bets.

Behaviours the workbook says reveal it:

  • Portfolio concentration
  • Sector or country bias
  • Excessive trading
  • Sticking with loss-making stocks in sectors the investor believes they know more about

Chapter 14's section on anomalies adds the market-level effect: overconfidence makes investors underestimate risks, and self-attribution makes them follow confirming information and disregard conflicting information — together causing them to trade too often and contributing to anomalies. Chapter 14's discussion of bubbles lists a close cousin, the illusion of control: familiarity and active involvement make investors believe they can forecast prices and get out before others.

A worked example

Illustrative figures. Vikram, a senior executive, runs his own ₹20 lakh equity portfolio. In two strong years it returned 28% and 31%. He concludes he has a gift.

In year three:

  • He concentrates ₹12 lakh — 60% — in three small-cap stocks from the sector he works in, because he "understands the industry".
  • He trades far more: about 60 round trips of roughly ₹2 lakh each.

With brokerage, taxes and impact cost at an assumed 0.6% per round trip:

Costs = 60 × ₹2,00,000 × 0.6% = ₹72,000  → 3.6% of the portfolio

The sector then has a bad year and the three stocks fall 25% — a loss of ₹3 lakh on the concentrated position. Together with costs, that is about ₹3.7 lakh, or roughly 19% of the portfolio, before counting anything the other ₹8 lakh earned.

Looking back honestly: the first two years coincided with a broad market rally. Every behaviour the workbook lists — concentration, sector bias, excessive trading, holding losers in a sector he "knows" — appeared once confidence outran evidence.

Why NISM asks about it

Chapter 14 (Behavioural Finance), section 14.3.1, sets out overconfidence bias, its interaction with self-attribution bias and its observable behaviours; section 14.5.1 links it to trading frequency and anomalies, and section 14.5.2 discusses the related illusion of control in bubbles. Expect it in bias-to-behaviour matching questions.

Common exam traps

  • Overconfidence is an emotional bias in the workbook's classification, not a cognitive error.
  • "Confusing brain with bull market" is the workbook's phrase for overconfidence combined with self-attribution bias.
  • Result: underestimating losses and risk — not overestimating them.
  • Excessive trading and concentration are symptoms, not separate biases.
  • Illusion of control (familiarity, access to information, involvement) appears under bubbles; it is related but listed separately.
  • Stereotyping — believing a high-profile manager means a good investment — is a different emotional bias in the same section.

Where this is taught

Free preparation for NISM Series XXI-B

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