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Market Mechanics + Behavioural

Overtrading Overconfidence

25 June 2026.1 min read.By Tanmay Kurtkoti

A friend asked me over the weekend why his portfolio keeps lagging the index. He watches it like a hawk. Eleven times a day, reads every print, trades on most of them. He was sure all that attention had to be worth something.

So I pulled the most famous study on the subject. Barber and Odean went through 66465 households at a discount broker, every trade, 1991 to 1996. Then they sorted people by how much they traded.

The fifth that traded the most earned 11.4 percent a year. The market over the same stretch did 17.9. Same six years. Same stocks on the same screen. The only thing that separated them was how often they touched the portfolio.

The average household was not much better. It turned over 75 percent of its holdings every year and still finished behind the index it could have simply owned.

Here is the part nobody wants to hear. The trading itself is the cost. Every round trip pays brokerage, the securities transaction tax, the bid-ask spread, and then overconfidence steps in to pick the timing. Sell the winner, chase the noise. Run that 6.5 point yearly gap across twenty years on ten lakh and it is not a rounding error. It is most of the result.

The fix is boring, which is why it works. A rule that rebalances on a schedule trades when the weights drift, not when your hands itch. It removes the one variable the study kept punishing. You.

You do not get paid for activity in this market. You get paid for sitting still and letting the rule do the moving

Educational content only. Figures are illustrative and computed on historical or representative data for teaching purposes. Not investment advice. Past performance does not guarantee future returns. Sourced from NSE, BSE, SEBI, AMFI, and RBI public data.

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