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Advances in Decision Sciences (ADS)

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Asset Pricing: A Comparative Analysis of Fama-French Five-Factor with Human Capital-Based Six-Factor Model

Asset Pricing: A Comparative Analysis of Fama-French Five-Factor with Human Capital-Based Six-Factor Model

Title

Asset Pricing: A Comparative Analysis of Fama-French Five-Factor with Human Capital-Based Six-Factor Model

Authors

  • Hassan Zada
    Department of Applied Economics Moscow State Institute of International Relations (MGIMO University)
  • Naveed Khan
    Faculty of Management Sciences International Islamic University, Pakistan
  • Kai-Yin Woo
    Department of Economics and Finance Hong Kong Shue Yan University, Hong Kong
  • Sana Gaied Chortane
    Member of ERIC Laboratory University of Lumiere Lyon 2, France

Abstract

Purpose: Decisions on investments in financial securities rely on robust asset pricing models. Investors continually seek more effective ways to make their portfolios more efficient by using pricing models that are more accurate and obtain better yields. This study compares the performance of the Fama-French five-factor model with a new six-factor model that incorporates the human capital (HC, hereafter) factor.
Methodology: The study employs the Fama and French time series regression and the Fama-MacBeth two-pass time series regression approach to analyze data of 170 firms (non-financial) listed on the Pakistan Stock Exchange (PSX) over the period between July 2010 and June 2020.
Findings: Findings indicate that HC is a significant factor that enhances the efficiency of asset pricing models. The six-factor model outperforms the Fama-French five-factor model, suggesting that the inclusion of HC yields a more effective asset pricing model.
Implications: The findings have important implications for investors, policymakers, and academics, indicating that the six-factor model is more effective in estimating expected returns and pricing financial securities. Hence, the findings of this study are strongly related to the practice of decision sciences, thereby providing insights to assess how the factors in factor models affect the variation in risk-adjusted returns, and it is useful for portfolio managers to make optimal asset-management decisions.
Originality/Value: This research contributes to the development of asset pricing models by introducing and validating the HC factor, offering a novel approach to improving the efficiency of valuation models used in financial markets.

Keywords

Asset Pricing, Fama-French Five-Factor Model, Six-Factor model, Human Capital, Pakistan stock exchange, Fama-MacBeth regression

Classification-JEL

C22, C53, E24, G11, G12, J24

Pages

1-37

How to Cite

Zada, H., Khan, N., Woo, K.-Y., & Chortane, S. G. (2025). Asset Pricing: A Comparative Analysis of Fama-French Five-Factor with Human Capital-Based Six-Factor Model. Advances in Decision Sciences, 29(4), 1-37.

https://doi.org/10.47654/v29y2025i4p1-37

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ISSN 2090-3359 (Print)
ISSN 2090-3367 (Online)

Scientific and Business World

Asia University, Taiwan

8.3
2024CiteScore
 
88th percentile
Powered by  Scopus
SCImago Journal & Country Rank
Q2 in Scopus
CiteScore 2024 = 8.3
CiteScoreTracker 2025 = 8.2
SNIP 2024 = 0.632
SJR Quartile = Q1
SJR 2024 = 0.814
H-Index = 18

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