IDEAS home Printed from https://ideas.repec.org/a/col/000443/016370.html
   My bibliography  Save this article

Evaluación de los factores de riesgo en los activos de renta variable que conforman el índice S&P MILA 40: aplicación del modelo de tres factores de Fama y French en el periodo 2009-2013

Author

Listed:
  • Diana Milena Carmona Munoz
  • Marcos Vera Leyton

Abstract

El presente artículo de investigación estima los factores de riesgo en los activos de renta variable que conforman el índice S&P MILA 40, a través de la aplicación del modelo de tres factores de Fama y French en el periodo 2009-2013. Este modelo, a partir de la evaluación de componentes microeconómicos, busca identificar las variables que potencialmente pueden tener influencia en la estimación de retornos de los activos y, de esta manera, lograr generar mayores niveles de información al mercado y a los agentes para la toma de decisiones de inversión. Luego de realizar los procedimientos, se puede establecer que, para los activos seleccionados, las carteras de menor capitalización generan los mayores rendimientos para los inversionistas, dentro las cuales se destaca la participación de manera ponderada de activos del mercado peruano; estos, por la naturaleza de las empresas y las condiciones de la economía, permitieron el surgimiento y la potencialización de activos de inversión que generan mayores condiciones de rentabilidad.

Suggested Citation

  • Diana Milena Carmona Munoz & Marcos Vera Leyton, 2017. "Evaluación de los factores de riesgo en los activos de renta variable que conforman el índice S&P MILA 40: aplicación del modelo de tres factores de Fama y French en el periodo 2009-2013," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, vol. 9(2), pages 301-317, May.
    • Handle: RePEc:col:000443:016370
    as

    Download full text from publisher

    File URL: http://editorial.ucatolica.edu.co/ojsucatolica/revistas_ucatolica/index.php/RFYPE/article/view/1830
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Driessen, Joost & Melenberg, Bertrand & Nijman, Theo, 2003. "Common factors in international bond returns," Journal of International Money and Finance, Elsevier, vol. 22(5), pages 629-656, October.
    2. 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.
    3. Driessen, J.J.A.G. & Melenberg, B. & Nijman, T.E., 2003. "Common factors in international bond returns," Other publications TiSEM 06a83942-b625-4d3c-808c-a, Tilburg University, School of Economics and Management.
    4. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    5. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    6. Fama, Eugene F & French, Kenneth R, 1996. "Multifactor Explanations of Asset Pricing Anomalies," Journal of Finance, American Finance Association, vol. 51(1), pages 55-84, March.
    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. Diana Milena Carmona Munoz & Marcos Vera Leyton, 2017. "Evaluación de los factores de riesgo en los activos de renta variable que conforman el índice S&P MILA 40: aplicación del modelo de tres factores de Fama y French en el periodo 2009-2013," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, vol. 9(2), pages 301-317, November.
    2. Linnenluecke, Martina K. & Chen, Xiaoyan & Ling, Xin & Smith, Tom & Zhu, Yushu, 2017. "Research in finance: A review of influential publications and a research agenda," Pacific-Basin Finance Journal, Elsevier, vol. 43(C), pages 188-199.
    3. Gikas Hardouvelis & George Papanastasopoulos & Dimitrios D. Thomakos & Tao Wang, 2007. "Accruals, Net Stock Issues and Value-Glamour Anomalies: New Evidence on their Relation," Working Paper series 47_07, Rimini Centre for Economic Analysis.
    4. Fernando Rubio, 2005. "Estrategias Cuantitativas De Valor Y Retornos Por Accion De Largo," Finance 0503029, University Library of Munich, Germany.
    5. Lu Zhang, 2017. "The Investment CAPM," European Financial Management, European Financial Management Association, vol. 23(4), pages 545-603, September.
    6. Qianwei Ying & Tahir Yousaf & Qurat ul Ain & Yasmeen Akhtar & Muhammad Shahid Rasheed, 2019. "Stock Investment and Excess Returns: A Critical Review in the Light of the Efficient Market Hypothesis," JRFM, MDPI, vol. 12(2), pages 1-22, June.
    7. Ball, Ray & Gerakos, Joseph & Linnainmaa, Juhani T. & Nikolaev, Valeri V., 2015. "Deflating profitability," Journal of Financial Economics, Elsevier, vol. 117(2), pages 225-248.
    8. 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.
    9. Papanastasopoulos, Georgios & Thomakos, Dimitrios & Wang, Tao, 2011. "Information in balance sheets for future stock returns: Evidence from net operating assets," International Review of Financial Analysis, Elsevier, vol. 20(5), pages 269-282.
    10. Antonio Zoratto Sanvicente & Renato Teles Delgado, 2010. "Learning Theory and Equity Valuation: an Empirical Analysis," Brazilian Review of Finance, Brazilian Society of Finance, vol. 8(2), pages 113-139.
    11. Auer, Benjamin R. & Rottmann, Horst, 2019. "Have capital market anomalies worldwide attenuated in the recent era of high liquidity and trading activity?," Journal of Economics and Business, Elsevier, vol. 103(C), pages 61-79.
    12. Sonntag, Dominik, 2018. "Die Theorie der fairen geometrischen Rendite [The Theory of Fair Geometric Returns]," MPRA Paper 87082, University Library of Munich, Germany.
    13. R. Sverchkov & K. Sonin., 2014. "Financial Markets Efficiency (Nobel Memorial Prize in Economics 2013)," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 1.
    14. Fernando Rubio, 2005. "Eficiencia De Mercado, Administracion De Carteras De Fondos Y Behavioural Finance," Finance 0503028, University Library of Munich, Germany, revised 23 Jul 2005.
    15. Committee, Nobel Prize, 2013. "Understanding Asset Prices," Nobel Prize in Economics documents 2013-1, Nobel Prize Committee.
    16. Jiri NOVAK, 2014. "Does Stock Liquidity Explain the Premium for Stock Price Momentum?," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(1), pages 79-95, February.
    17. Harrison Hong & Terence Lim & Jeremy C. Stein, 2000. "Bad News Travels Slowly: Size, Analyst Coverage, and the Profitability of Momentum Strategies," Journal of Finance, American Finance Association, vol. 55(1), pages 265-295, February.
    18. Abugri, Benjamin A. & Dutta, Sandip, 2014. "Are we overestimating REIT idiosyncratic risk? Analysis of pricing effects and persistence," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 249-259.
    19. Tobias J. Moskowitz & Mark Grinblatt, 2002. "What Do We Really Know About the Cross-Sectional Relation Between Past and Expected Returns?," Yale School of Management Working Papers ysm259, Yale School of Management.
    20. Eero Pätäri & Timo Leivo, 2017. "A Closer Look At Value Premium: Literature Review And Synthesis," Journal of Economic Surveys, Wiley Blackwell, vol. 31(1), pages 79-168, February.

    More about this item

    Keywords

    factor; rentabilidad; riesgo; valoración;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:col:000443:016370. 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: Universidad Católica de Colombia (email available below). General contact details of provider: https://edirc.repec.org/data/feuccco.html .

    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.