IDEAS home Printed from https://ideas.repec.org/a/imx/journl/v5y2006i1p47-83.html
   My bibliography  Save this article

Valuación Del Valor En Riesgo De Bonos Cupón Cero En El Mercado Financiero Mexicano A Través Del Modelo De Vasicek, Cir Y Simulación Monte Carlo Con Saltos De Poisson

Author

Listed:
  • Fernando Cruz Aranda

    (Tecnológico de Monterrey, Campus Ciudad de México)

Abstract

En este trabajo de investigación se calcula el "Valor en Riesgo", llamado VaR, de un bono cupon cero. Se utiliza la tasa de rendimiento anualizada diaria de cetes a 28 días, en el periodo del 3 de mayo de 2004 al 8 de marzo de 2006 para la economía Mexicana. La tasa corta es guiada por una ecuación diferencial estocástica, en particular, del modelo de Vasicek y CoxIngersoll-Ross (CIR). La estimación de los parámetros es por MCO y MGM respectivamente. Asimismo, se determina la estructura de plazos del bono cupon cero. Finalmente, se calcula el precio del bono por simulaciones Monte Cario en la que la dinámica de la tasa corta sigue un proceso estocástico del tipo de Vasicek y CIR, donde la incorporan de saltos de Poisson conducen a una serie de conclusiones y recomendaciones.

Suggested Citation

  • Fernando Cruz Aranda, 2006. "Valuación Del Valor En Riesgo De Bonos Cupón Cero En El Mercado Financiero Mexicano A Través Del Modelo De Vasicek, Cir Y Simulación Monte Carlo Con Saltos De Poisson," 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. 5(1), pages 47-83, Marzo 200.
  • Handle: RePEc:imx:journl:v:5:y:2006:i:1:p:47-83
    as

    Download full text from publisher

    File URL: http://www.remef.org.mx/index.php/primera/article/view/216
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Valor en riesgo; bono cupón cero; simulación Monte Carla;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    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:5:y:2006:i:1:p:47-83. 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: 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.