Market Sentiment

Market sentiment was one of the most powerful yet most difficult-to-quantify forces in equity markets. It was the aggregate of millions of individual investor beliefs, fears, hopes, and biases, expressed collectively through the prices of securities. When sentiment was broadly positive, investors assigned higher valuations, dismissed risks, and bid up prices beyond what fundamentals alone could justify. When sentiment turned negative, even fundamentally sound companies saw their stock prices decline sharply as investors prioritised safety over return.

In India, sentiment shifts had been among the most dramatic drivers of short-term market volatility. The 2008 global financial crisis triggered one of the sharpest sentiment collapses in Indian market history: the Nifty 50 fell over 55% from peak to trough in less than twelve months, not because all underlying businesses became worthless overnight but because investor sentiment moved from greed to fear. Conversely, the recovery rally from the COVID-19 lows in April 2020 was driven in large part by sentiment turning sharply positive as fiscal and monetary stimulus announcements exceeded expectations.

Several indicators were historically used to gauge market sentiment in India. The India VIX (Volatility Index), computed by NSE, measured the market's expectation of near-term volatility implied from Nifty options prices — a high VIX indicated fear and uncertainty while a low VIX suggested complacency. The put-call ratio (PCR) of Nifty options — the ratio of put options outstanding to call options outstanding — was another proxy: a high PCR suggested bearish positioning while a low PCR reflected bullishness or complacency. FII (Foreign Institutional Investor) flow data published daily by NSE and SEBI provided insight into whether large global investors were net buyers or sellers of Indian equities, a significant determinant of short-term direction.

Behavioural finance research had documented systematic ways sentiment deviated from rational pricing. Herd behaviour caused investors to buy after prices had already risen (fear of missing out) and sell after prices had fallen (panic selling), both of which were contrary to rational value-maximising behaviour. Recency bias — the tendency to extrapolate recent trends — amplified sentiment extremes. These patterns repeated across Indian market cycles, from the technology bubble of 2000 to the infrastructure boom of 2007, the MFI crisis of 2010, and the new-age IPO frenzy of 2021.

For long-term investors, understanding sentiment was useful not for market timing but for calibrating expectations. Periods of extreme negative sentiment historically corresponded to attractive entry points for patient capital, while periods of extreme positive sentiment historically preceded periods of below-average forward returns.