Herding is the tendency for investors to mimic the actions of a larger group rather than rely on their own analysis. It is rational under genuine information asymmetry ("these people may know something") but becomes destructive when it cascades into bubbles or panics.
Herding shows up across timeframes: intra-day momentum chasing, weekly meme-stock waves, monthly sector rotations, year-long IPO frenzies, and decade-long asset-class manias (1999 tech, 2008 real estate, 2017 ICOs, 2021 SPACs).
The defining marker of herding-driven moves is when price moves accelerate beyond fundamentals and become self-reinforcing through inflows and social attention. The unwind is typically as violent as the build-up.
Example 1: A 2024 small-cap mutual fund category attracted record inflows after 3 years of 30%+ returns. Valuation premia compressed; net inflows continued for 6 months past the fundamental top. The subsequent 18-month flat-to-down phase trapped recency-driven, herd-following entries.
Example 2: A 2021 new-age IPO wave saw multiple loss-making tech companies issue at sales multiples 20-50x. The herd justified entry via "thematic conviction". Most lost 60-80% in the subsequent 18 months as the herd's exits also clustered.
Defences: (a) Maintain a written investment process that pre-commits to entry / exit criteria, isolating you from peer pressure; (b) Avoid checking social media when you're considering a position; (c) When a trade is "obvious" and everyone agrees, reduce conviction not increase it; (d) Read the lonely contrarian view at least quarterly.
Herding isn't always wrong — momentum exists. But mid-cycle herding generates returns; late-cycle herding generates losses. The hard part is knowing where in the cycle you are.
Disclaimer: Educational content from MintByte (ARN-314872, MFD). Examples are illustrative. SEBI Investment Adviser registration is in process; we do not provide personalized advice.