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Empirical Asset Pricing Models for Green, Grey, and Red EU Securities: A Fama–French and Carhart Model Approach

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  • Ferdinantos Kottas

    (School of Business, National University of Ireland Maynooth, W23 F2H6 Maynooth, Ireland
    Credit Bureau, Creditinfo, 18600 Prague, Czech Republic
    Financial Mathematics & Computational Research Cluster, A94 XF34 Dublin, Ireland)

Abstract

This study examines the explainability, validity, and applicability of multi-factor models in explaining the returns of Green (eco-friendly), Grey (neutral), and Red (environmentally harmful) EU securities. We apply the Fama–French three-factor and five-factor models, along with the Carhart four-factor model, to analyze changes in risk exposures and adjusted abnormal returns (alphas) before and after the 2009 global financial crisis (GFC). Green and Grey securities exhibit positive SMB loadings, while Grey’s HML shifts from negative to positive over time. Both Green and Red securities show positive SMB and HML factors but negative alphas in the second period, indicating systematic underperformance. Additionally, for Red assets, momentum (MOM), profitability (RMW), and investment (CMA) factors are positive and significant in the first period but become insignificant or negative later. These findings highlight structural shifts in factor exposures and contribute to the ongoing debate on the most suitable classical asset pricing framework for environmentally classified assets, offering insights into the effectiveness of traditional factor models in different classes of environmental assets in finance. Lastly, the three-factor model better captures the common variation in Green and Grey asset returns. Specifically, the 4-factor model and the HML Devil factor prove to be more effective in explaining returns for Red securities.

Suggested Citation

  • Ferdinantos Kottas, 2025. "Empirical Asset Pricing Models for Green, Grey, and Red EU Securities: A Fama–French and Carhart Model Approach," JRFM, MDPI, vol. 18(5), pages 1-28, May.
  • Handle: RePEc:gam:jjrfmx:v:18:y:2025:i:5:p:282-:d:1658985
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