Behavioural Finance, Investor Sentiment and Market Anomalies in Indian Equity Markets — Evidence from Nifty 50 and BSE Mid-Cap Indices
Author(s): Vinod Srinivasan, Kavitha Ramesh
Affiliation: Department of Finance and Accounting, Indian Institute of Management Calcutta, Kolkata, West Bengal, India Department of Financial Studies, University of Delhi — South Campus, New Delhi, India
Page No: 44-46-
Volume issue & Publishing Year: Volume 3, Issue 4, 2026/04/18
Journal: International Journal of Modern Engineering and Management | IJMEM
ISSN NO: 3048-8230
DOI: https://doi.org/10.5281/zenodo.19764222
Abstract:
The Efficient Market Hypothesis (EMH), positing that asset prices fully reflect all available information and that systematic excess returns are therefore impossible, has been progressively qualified by three decades of behavioural finance research documenting systematic return anomalies — calendar effects, momentum, value premium, size effect — and investor behaviour biases — overconfidence, herding, loss aversion, anchoring — that generate predictable mispricings in equity markets. India's equity market, having grown from a market capitalisation of USD 0.8 trillion (2014) to USD 4.9 trillion (March 2024), provides a rich empirical laboratory for behavioural finance research because of its transitional market characteristics — a combination of sophisticated institutional investors and 90 million newly onboarded retail investors (many trading for the first time through Zerodha and Groww's discount brokerage platforms) whose behavioural biases are more pronounced and less disciplined than developed market retail investors. This study analyses investor sentiment-return relationships, calendar and fundamental anomalies, and behavioural bias intensity differentials between retail and institutional investors in India's equity market using 10 years of daily Nifty 50 and BSE Mid-Cap data (2014-2024), monthly FII/DII flow data, and primary survey data from 1,842 investors (842 institutional, 1,000 retail). The Investor Sentiment Index constructed from turnover velocity, put-call ratio, discount-to-NAV, and IPO oversubscription metrics shows a significant return predictability effect (Granger causality: F=8.42, p<0.001, 2-month lag). The 52-week high/low anomaly shows the highest excess return (6.48%, t=7.84) among six tested anomalies. FII herding coefficient of 0.82 (r=0.82 with Nifty returns, p<0.001) confirms the outsized market impact of institutional flows. The Santa Clara University collaboration contributes the behavioural bias measurement instrument validated in US retail investor research.
Keywords:
behavioural finance, investor sentiment, market anomalies, India, Nifty 50, overconfidence, herding, FII, loss aversion, value premium, momentum, EMH
Reference:
[1] De Bondt, W. F. M., & Thaler, R. H. (1985). Does the stock market overreact? Journal of Finance, 40(3), 793-805.
[2] DeLong, J. B., et al. (1990). Noise trader risk in financial markets. Journal of Political Economy, 98(4), 703-738.
[3] Shefrin, H. (2000). Beyond Greed and Fear: Understanding Behavioral Finance. Harvard Business School Press.
[4] Srinivasan, V., & Ramesh, K. (2023). Investor sentiment and equity returns in India. Finance Research Letters, 56, 104098.
[5] Statman, M. (2011). What Investors Really Want. McGraw-Hill.