IDEAS home Printed from https://ideas.repec.org/a/col/000093/004845.html
   My bibliography  Save this article

Modelos ARCH, GARCH y EGARCH: aplicaciones a series financieras

Author

Listed:
  • Marta Casas Monsegny
  • Edilberto Cepeda

Abstract

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 Economia, Universidad Nacional de Colombia, FCE, CID, July.
    • Handle: RePEc:col:000093:004845
    as

    Download full text from publisher

    File URL: http://www.fce.unal.edu.co/media/files/documentos/Cuadernos/48/v27n48_casas_2008.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gil-León, José Mauricio & Toca-Toca, Julián Santiago, 2020. "Política monetaria no convencional en EE.UU y comportamiento de los mercados emergentes en América Latina," Revista Tendencias, Universidad de Narino, vol. 21(1), pages 24-51, January.
    2. Federico Galán-Valdivieso & Elena Villar-Rubio & María-Dolores Huete-Morales, 2018. "The erratic behaviour of the EU ETS on the path towards consolidation and price stability," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 18(5), pages 689-706, October.
    3. Eduardo Sandoval & Paula Urrutia, 2014. "Zero-Cost Collar Strategy For Chilean Exporters: Black-Scholes Valuation Vs Monte Carlo Simulations, Estrategia Collar Costo Cero Para Exportadores Chilenos. Valuacion De Black-Scholes Vs Simulaciones," Revista Internacional Administracion & Finanzas, The Institute for Business and Finance Research, vol. 7(5), pages 25-40.
    4. Omar Alejandro González Rivas, 2016. "Causalidad en Segundos Momentos: Una aplicación a la volatilidad bursátil en México, Estados Unidos y Australia," Graduate theses (Spanish) TESG 006, CIDE, División de Economía.

    More about this item

    Keywords

    modelos ARCH; GARCH y EGARCH; predicción;
    All these keywords.

    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)

    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:000093:004845. 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.

    We have no bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Facultad de Ciencias Economicas Unal (email available below). General contact details of provider: https://edirc.repec.org/data/funalco.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.