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Recency Bias in Markets (Deep-Dive)

Recency bias is the cognitive tendency to give recent observations more weight than long-term base rates. In investing, it leads investors to extrapolate the last 1-3 years of returns into the future and to chase the asset class or strategy

Glossary

Recency bias is the cognitive tendency to give recent observations more weight than long-term base rates. In investing, it leads investors to extrapolate the last 1-3 years of returns into the future and to chase the asset class or strategy that has just outperformed.

The bias is especially destructive in mutual fund selection (top-1Y fund becomes top-of-mind), asset-allocation drift (overweighting whichever asset class is hot), and sector rotation (entering a sector at the end of its run because of recent news flow).

Empirically, fund inflows lag returns: investors pour into funds AFTER they have outperformed, then ride the mean reversion. Studies have shown the average mutual-fund investor earns 2-3% less per year than the funds they pick — the "behaviour gap" — largely because of recency-driven entries and exits.

Example 1: Small-cap mutual funds delivered 30%+ CAGR in 2020-2024. Inflows surged in 2024. By Q3 2024, valuations had compressed forward returns to high-single-digits. Investors who entered post-rally faced flat-to-negative returns for the subsequent 18 months — even though small caps still made sense in long-term allocation.

Example 2: An investor compares two equity funds: Fund A returned 35% in the last 1 year, 22% over 10 years. Fund B returned 18% in the last 1 year, 24% over 10 years. The recency bias screams Fund A; the long-term evidence favours Fund B.

Defences: (a) Always look at 10Y / 15Y / rolling-returns, not 1Y; (b) Pre-commit to allocation bands that force rebalancing when one bucket gets too hot; (c) Read longer-horizon data more often than daily prices.

Disclaimer: Educational content from MintByte (ARN-314872, MFD). Examples are illustrative; past returns don't predict future. SEBI Investment Adviser registration is in process; we do not provide personalized advice.

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MethodologyHow every metric cited above is derived.GlossaryPlain-language definitions for the terms used.ToolkitWhere these ideas become inputs in calculators.

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