IDEAS home Printed from https://ideas.repec.org/p/col/000418/008271.html
   My bibliography  Save this paper

Determinantes de la prima de riesgo soberano para Colombia

Author

Listed:
  • Bernardo Albertoi Zapata Bonnett

Abstract

Se propone un modelo de rezagos distribuidos para determinar las variables que afectan las primas de riesgo soberano para Colombia, trabajando con datos mensuales para el periodo enero 2002 a marzo 2005; y datos de abril 2005 a noviembre 2005 como datos out-of-the-sample para verificar la capacidad de pronóstico del modelo.Lo novedoso con respecto a estudios es la característica dinámica del modelo al incluir tanto la variable dependiente como las independientes rezagadas; igualmente la incorporación del spread de Brasil como una variable proxy del efecto contagio.Los resultados muestran que el efecto contraio es significativo para explicar el spread soberano de Colombia; igualmente que la Historia importa, es decir, que los spreads no cambian subítamente, sino que de hecho lo hacen poco a poco, en la medida en que incorporan nueva información.

Suggested Citation

  • Bernardo Albertoi Zapata Bonnett, 2006. "Determinantes de la prima de riesgo soberano para Colombia," Ensayos de Economía 8271, Universidad Nacional de Colombia Sede Medellín.
  • Handle: RePEc:col:000418:008271
    as

    Download full text from publisher

    File URL: http://humanas.medellin.unal.edu.co/sites/default/files/ede/pdf/ede_28/ede_28_01_zapata_bernardo.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Riesgo soberano; modelo de rezagos distribuidos; efecto contagio.;
    All these keywords.

    JEL classification:

    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

    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:000418:008271. 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: Universidad Nacional de Medellín (email available below). General contact details of provider: https://edirc.repec.org/data/dunamco.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.