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What are the most common behavioural biases that hurt Indian investors?

What are behavioural biases in investing: the major cognitive and emotional biases (recency bias, herding, loss aversion, overconfidence, confirmation bias) and how they manifest in Indian stock market behaviour.

In one line

Behavioural biases are systematic errors in investor decision-making driven by cognitive shortcuts and emotional responses, causing investors to buy high (recency bias, herding), hold losers too long (loss aversion), over-trade (overconfidence), and ignore contradictory evidence (confirmation bias).

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Recency bias and herding

Recency bias is the tendency to overweight recent events when predicting the future. After a strong bull market, investors extrapolate the bull indefinitely and increase equity allocation near the top. After a crash, they extrapolate the crash and reduce allocation near the bottom. This systematic buying high and selling low is the single largest performance-destroying bias for retail investors.

Herding is following the crowd because it feels safe. When Zerodha and Groww account openings surge in a bull market, new investors buy what everyone else is buying -- usually the most popular, highest-recent-return stocks. Herding amplifies momentum and creates bubbles in popular themes. The same investors sell in panic when the crowd turns negative, amplifying crashes.

Loss aversion and the disposition effect

Loss aversion is the psychological asymmetry that makes a loss feel about twice as painful as an equivalent gain feels good. This causes investors to hold losing positions too long (hoping to break even) and sell winning positions too early (locking in the pleasurable feeling of a gain before it reverses). This is the 'disposition effect' -- the tendency to dispose of winners and hold losers.

In the Indian market, this manifests as investors holding fundamentally impaired stocks for years waiting to sell at their purchase price, while taking profits too quickly on quality businesses that are compounding. The mathematically correct approach is the opposite: cut losers whose thesis has changed, hold winners whose thesis remains intact.

Overconfidence and confirmation bias

Overconfidence is systematic overestimation of one's ability to pick stocks, time markets, or forecast earnings. Indian retail investors significantly outperform theoretical expectations in bull markets (because the broad market rises) and attribute this to skill rather than a rising tide. This overconfidence leads to under-diversification, over-trading, and insufficient risk management.

Confirmation bias is the tendency to seek and interpret information in a way that confirms existing beliefs while ignoring contradictory data. An investor who is bullish on a company will read positive analyst reports and dismiss negative ones, attend only to bullish news flow, and reinterpret negative developments as temporary. Building a 'bull case and bear case' framework for every holding and actively seeking out the strongest counterargument is the antidote.

FAQ2 reader questions · AEO-eligible

Common questions on what are behavioural biases in investing.

How can I reduce recency bias in my investing?

The most effective tool is systematic investing through SIPs, which forces equal investment at regular intervals regardless of market mood. For direct equity investors, pre-committing to a buy list (stocks you would buy if they fell to specified prices) during calm markets and acting mechanically on that list during downturns removes the emotion-driven paralysis of buying when fear is highest.

What is the 'endowment effect' in investing?

The endowment effect is the tendency to value things you already own more highly than things you do not own. In investing, this manifests as reluctance to sell a position purely because you own it, even when you would not buy it at the current price if you did not already hold it. A clean test: would you buy this stock at today's price if you were starting fresh? If the answer is no, holding is often irrational and driven by the endowment effect rather than investment logic.

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