IDEAS home Printed from
   My bibliography  Save this article

Modelos ARCH, GARCH y EGARCH: aplicaciones a series financieras


  • Marta Casas Monsegny


  • Edilberto Cepeda



En este artículo se incluye una descripción de los modelos ARCH, GARCH y EGARCH, y de los procesos de estimación de sus parámetros usando máxima verosimilitud. Se propone un modelo alternativo para el análisis de series financieras y se estudian las series de precios y de retornos de las acciones deGillette. La selección de modelos usando los criterios AIC y BIC permite concluir que, de los modelos considerados el GARCH(1,2) es el que mejor explica el comportamiento de los precios de las acciones y el EGARCH(2,1) es el que mejor explica la serie de los retornos.

Suggested Citation

  • Marta Casas Monsegny & Edilberto Cepeda, 2008. "Modelos ARCH, GARCH y EGARCH: aplicaciones a series financieras," REVISTA CUADERNOS DE ECONOMÍA, UN - RCE - CID, July.
  • Handle: RePEc:col:000093:004845

    Download full text from publisher

    File URL:
    Download Restriction: no

    More about this item


    modelos ARCH; GARCH y EGARCH; predicción;

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)


    Access and download statistics


    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:000093:004845. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Facultad de Ciencias Económicas Unal). General contact details of provider: .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.