BEYOND NUMBERS: THE IMPACT OF BEHAVIORAL BIASES AND RATIONAL MODELS ON INDIAN EQUITY INVESTMENT DECISIONS – EVIDENCE FROM MRF LTD

Abstract

This thesis explores the complex interplay between rational investment techniques and behavioral biases in the Indian stock market, with a focused empirical lens on MRF Ltd. as a case study. While classical finance theories such as the Efficient Market Hypothesis and Modern Portfolio Theory assume investors act rationally and markets efficiently incorporate all available information, real-world evidence and market anomalies suggest otherwise. Through a dual-methodology approach that combines rigorous financial modeling (including DCF, relative, and residual income valuation) with a structured behavioral survey administered to Indian investors, this research uncovers the extent to which psychological factors shape investment outcomes. The study finds that behavioral biases-anchoring, herding, loss aversion, overconfidence, mental accounting, and confirmation bias-are not only widespread but persistent, with nearly two-thirds of survey respondents exhibiting non-rational decision-making across key investment scenarios. Retail investors are significantly more susceptible to anchoring and herding, while HNI and institutional investors display a greater propensity for rational or contrarian choices. Surprisingly, demographic variables such as age, education, and even self- reported financial literacy (measured by frequency of DCF or P/E model use) do not significantly mitigate bias or predict rationality, underscoring the powerful role of emotion and social influence over technical knowledge. The integration of behavioral data with MRF’s financial model reveals that market premiums and volatility are closely linked to the prevalence of these biases. For example, the persistent gap between MRF’s market price and its intrinsic value can be traced to investor anchoring on past highs and herding around social or institutional signals, while loss aversion and overconfidence contribute to delayed corrections during downturns. Factor analysis further shows that biases tend to cluster-emotional/disposition, anchoring/social reference, and herding/contrarianism-highlighting the multifaceted nature of investor psychology. These insights have critical implications for all market participants. For investors, self- awareness and emotional discipline are as vital as analytical skill. For firms, especially those with large retail followings like MRF, effective communication must address both fundamentals and behavioral triggers. For policymakers and regulators, investor education programs must go beyond technical training to include modules on behavioral finance and emotional self-regulation, while market monitoring should account for sentiment-driven flows. In summary, this thesis demonstrates that behavioral biases are a dominant force in shaping both individual and collective outcomes in the Indian equity market. Addressing these biases 5 through targeted education, transparent communication, and behavioral product design is essential for enhancing market efficiency, investor welfare, and the long-term stability of India’s capital markets.