IDEAS home Printed from https://ideas.repec.org/a/imx/journl/v19y2024i4a6.html
   My bibliography  Save this article

Extensión del modelo de tres factores de Fama y French, rendimientos de mercado y sustentabilidad corporativa

Author

Listed:
  • Raúl Silva Noreña

    (Universidad de las Américas, Puebla)

  • Nora Gavira Durón

    (Universidad de las Américas, Puebla)

  • Angélica Alonso Rivera

    (Universidad de las Américas, Puebla)

Abstract

Objetivo: demostrar si la sustentabilidad corporativa representa un factor que impacta los retornos de mercado de las empresas. Metodología: una extensión del modelo lineal de tres factores de Fama y French, analiza el exceso de rendimiento esperado sobre de la tasa libre de riesgo en función de la sensibilidad a tres factores (prima de riesgo sistemático, factor de tamaño de la empresa y factor capitalización); con un cuarto factor (sustentabilidad de la empresa), medido por su calificación ESG. Datos históricos mensuales del precio de las acciones de 505 empresas del SP500 de 2002 a 2021. Resultados: la sustentabilidad no representa un factor determinante en los rendimientos de mercado. Recomendación: utilizar rezagos en futuras investigaciones. Limitación: no considera las controversias en las calificaciones ESG, lo que podría modificar los resultados. Originalidad: la forma de medir el rendimiento considerando su evaluación de sustentabilidad. Conclusión: la sustentabilidad en las empresas tiene un costo económico en el corto plazo que impacta en los retornos, pero a mediano o largo plazo, representa un incentivo para inversionistas y clientes.

Suggested Citation

  • Raúl Silva Noreña & Nora Gavira Durón & Angélica Alonso Rivera, 2024. "Extensión del modelo de tres factores de Fama y French, rendimientos de mercado y sustentabilidad corporativa," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 19(4), pages 1-21, Octubre -.
  • Handle: RePEc:imx:journl:v:19:y:2024:i:4:a:6
    as

    Download full text from publisher

    File URL: https://www.remef.org.mx/index.php/remef/article/view/1074
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    2. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    3. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    4. Ciciretti, Rocco & Dalò, Ambrogio & Dam, Lammertjan, 2023. "The contributions of betas versus characteristics to the ESG premium," Journal of Empirical Finance, Elsevier, vol. 71(C), pages 104-124.
    5. Pastor, Lubos & Stambaugh, Robert F., 2003. "Liquidity Risk and Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 642-685, June.
    6. Miguel Blázquez & Mar�a Florencia Peretti, 2012. "Modelo para gestionar la sustentabilidad de las organizaciones a través de la rentabilidad, adaptabilidad e imagen," Estudios Gerenciales, Universidad Icesi.
    7. Venegas-Martínez, Francisco (ed.), 2008. "Riesgos financieros y económicos, productos derivados y decisiones económicas bajo incertidumbre," Sección de Estudios de Posgrado e Investigación de la Escuela Superios de Economía del Instituto Politécnico Nacional, Escuela Superior de Economía, Instituto Politécnico Nacional, edition 2, volume 1, number 019, Segundo s.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Becchetti, Leonardo & Ciciretti, Rocco & Dalò, Ambrogio, 2018. "Fishing the Corporate Social Responsibility risk factors," Journal of Financial Stability, Elsevier, vol. 37(C), pages 25-48.
    2. Turan G. Bali & Robert F. Engle & Yi Tang, 2017. "Dynamic Conditional Beta Is Alive and Well in the Cross Section of Daily Stock Returns," Management Science, INFORMS, vol. 63(11), pages 3760-3779, November.
    3. Zura Kakushadze, 2014. "4-Factor Model for Overnight Returns," Papers 1410.5513, arXiv.org, revised Jun 2015.
    4. Shiyang Huang & Xin Liu & Dong Lou & Christopher Polk, 2024. "The Booms and Busts of Beta Arbitrage," Management Science, INFORMS, vol. 70(8), pages 5367-5385, August.
    5. Guo, Hui, 2006. "Time-varying risk premia and the cross section of stock returns," Journal of Banking & Finance, Elsevier, vol. 30(7), pages 2087-2107, July.
    6. Qian, Meijun & Tanyeri, Başak, 2017. "Litigation and mutual-fund runs," Journal of Financial Stability, Elsevier, vol. 31(C), pages 119-135.
    7. Shafiqur Rahman & Matthew J. Schneider, 2019. "Tests of Alternative Asset Pricing Models Using Individual Security Returns and a New Multivariate F-Test," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-34, March.
    8. De Moor, Lieven & Sercu, Piet, 2013. "The smallest firm effect: An international study," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 129-155.
    9. Karagiannidis, Iordanis & Vozlyublennaia, Nadia, 2016. "Limits to mutual funds' ability to rely on mean/variance optimization," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 282-292.
    10. Zura Kakushadze & Willie Yu, 2016. "Multifactor Risk Models and Heterotic CAPM," Papers 1602.04902, arXiv.org, revised Mar 2016.
    11. Murtazashvili, Irina & Vozlyublennaia, Nadia, 2012. "The role of data limitations, seasonality and frequency in asset pricing models," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(3), pages 555-574.
    12. Anton Astakhov & Tomas Havranek & Jiri Novak, 2019. "Firm Size And Stock Returns: A Quantitative Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 33(5), pages 1463-1492, December.
    13. François-Éric Racicot & William F. Rentz & Alfred L. Kahl, 2017. "Rolling Regression Analysis of the Pástor-Stambaugh Model: Evidence from Robust Instrumental Variables," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 23(1), pages 75-90, February.
    14. Maio, Paulo & Santa-Clara, Pedro, 2012. "Multifactor models and their consistency with the ICAPM," Journal of Financial Economics, Elsevier, vol. 106(3), pages 586-613.
    15. Vendrame, Vasco & Guermat, Cherif & Tucker, Jon, 2018. "A conditional regime switching CAPM," International Review of Financial Analysis, Elsevier, vol. 56(C), pages 1-11.
    16. Woltering, René-Ojas & Weis, Christian & Schindler, Felix & Sebastian, Steffen, 2018. "Capturing the value premium – global evidence from a fair value-based investment strategy," Journal of Banking & Finance, Elsevier, vol. 86(C), pages 53-69.
    17. Amit Goyal, 2012. "Empirical cross-sectional asset pricing: a survey," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(1), pages 3-38, March.
    18. Stuart Hyde & Mohamed Sherif, 2010. "Tests of the conditional asset pricing model: further evidence from the cross-section of stock returns," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 15(2), pages 198-211.
    19. Bedoya-Cadavid, Jorge Armando & Lanzas-Duque, Angela María & Salazar, Harold, 2025. "Common risk factors for Latin American electric utilities," Utilities Policy, Elsevier, vol. 93(C).
    20. Sun, Chuanping, 2024. "Factor correlation and the cross section of asset returns: A correlation-robust machine learning approach," Journal of Empirical Finance, Elsevier, vol. 77(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • D53 - Microeconomics - - General Equilibrium and Disequilibrium - - - Financial Markets
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:imx:journl:v:19:y:2024:i:4:a:6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ricardo Mendoza (email available below). General contact details of provider: https://www.remef.org.mx/index.php/remef/index .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.