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Indice de turbulencia financiera para Argentina mediante un modelo SWARCH

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  • Emiliano Delfau

Abstract

El objetivo del presente trabajo es desarrollar un índice de turbulencia argentino mediante la estimación de un modelo GARCH con proceso Markov (SWARCH). Estos modelos se han vuelto populares dado que permiten explicar cambios de regímenes en la varianza condicional de una serie de tiempo. En nuestro caso particular utilizaremos la tasa Badlar como serie de tiempo a modo de poder obtener dos momentos o regímenes de volatilidad uno denominado “calmo” o de baja volatilidad y otro denominado “turbulencia” o de alta volatilidad.

Suggested Citation

  • Emiliano Delfau, 2018. "Indice de turbulencia financiera para Argentina mediante un modelo SWARCH," CEMA Working Papers: Serie Documentos de Trabajo. 656, Universidad del CEMA.
  • Handle: RePEc:cem:doctra:656
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    File URL: https://ucema.edu.ar/publicaciones/download/documentos/656.pdf
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    References listed on IDEAS

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    5. David Ardia, 2008. "Financial Risk Management with Bayesian Estimation of GARCH Models," Lecture Notes in Economics and Mathematical Systems, Springer, number 978-3-540-78657-3, October.
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