An Empirical Evaluation of the Fama-French Five-Factor Model in the Indian Equity Market: Evidence from NSE-Listed Stocks

This study evaluates the performance of Fama-French three- and five-factor models, emphasizing profitability (RMW) and investment (INV) factors in explaining stock returns. By examining these frameworks, this study seeks to enhance the understanding of market behavior and return determinants. The analysis uses NSE 500 constituents from October 1995 to September 2022, employing time-series regression to assess model efficacy through statistical measures, including intercept terms (alpha) and goodness-of-fit metrics (adjusted R²). The results show the Five-Factor Model's superior explanatory power compared to the CAPM and Three-Factor specification, validating the value of profitability and investment factors in asset pricing. This study reveals the limitations of single-factor approaches while highlighting the advantages of multifactor frameworks for return prediction, portfolio optimization, and risk assessment. The 27-year dataset provides more robust insights than those of previous studies with restricted parameters, enabling the identification of market patterns across varying economic conditions. These findings advance the empirical asset pricing literature through a comparative analysis of competing models in the Indian equity context, with implications for investment strategies and financial decision-making.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-25
DOI
https://doi.org/10.5281/zenodo.15280849
Primary Topic
Stock Market Forecasting Methods
Type
article
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article

An Empirical Evaluation of the Fama-French Five-Factor Model in the Indian Equity Market: Evidence from NSE-Listed Stocks

Zenodo (CERN European Organization for Nuclear Research)
Stock Market Forecasting Methods
article

An Empirical Evaluation of the Fama-French Five-Factor Model in the Indian Equity Market: Evidence from NSE-Listed Stocks

article en

Abstract

This study evaluates the performance of Fama-French three- and five-factor models, emphasizing profitability (RMW) and investment (INV) factors in explaining stock returns. By examining these frameworks, this study seeks to enhance the understanding of market behavior and return determinants. The analysis uses NSE 500 constituents from October 1995 to September 2022, employing time-series regression to assess model efficacy through statistical measures, including intercept terms (alpha) and goodness-of-fit metrics (adjusted R²). The results show the Five-Factor Model's superior explanatory power compared to the CAPM and Three-Factor specification, validating the value of profitability and investment factors in asset pricing. This study reveals the limitations of single-factor approaches while highlighting the advantages of multifactor frameworks for return prediction, portfolio optimization, and risk assessment. The 27-year dataset provides more robust insights than those of previous studies with restricted parameters, enabling the identification of market patterns across varying economic conditions. These findings advance the empirical asset pricing literature through a comparative analysis of competing models in the Indian equity context, with implications for investment strategies and financial decision-making.

Zenodo (CERN European Organization for Nuclear Research)
Aligarh Muslim University (IN)
Openalex Percentile: Top 50%
Stock Market Forecasting Methods
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An Empirical Evaluation of the Fama-French Five-Factor Model in the Indian Equity Market: Evidence from NSE-Listed Stocks · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS