Systemic risk of Spanish listed banksa vine copula CoVaR approach

  1. Juan C. Reboredo 2
  2. Andrea Ugolini 1
  1. 1 Università di Firenze
  2. 2 Universidade de Santiago de Compostela. Departamento de Fundamentos da Análise Económica
Journal:
Revista española de financiación y contabilidad

ISSN: 0210-2412

Year of publication: 2016

Volume: 45

Issue: 1

Pages: 1-31

Type: Article

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More publications in: Revista española de financiación y contabilidad

Abstract

En este trabajo se cuantifica el riesgo sistémico que generan las dificultades financieras de un banco español cotizado sobre los restantes bancos cotizados y sobre el sistema financiero europeo, utilizando para ello el valor condicional en riesgo (CoVaR) como medida de riesgo sistémico. Modelizamos la dependencia multivariante entre los bancos cotizados utilizando una estructura de dependencia jerárquica en forma de árbol dada por un modelo cópula denominado vine, mientras que utilizamos un modelo cópula bivariante para modelizar la dependencia entre cada uno de los bancos cotizados y el sistema financiero europeo. Para el período enero de 2003 a marzo de 2015, el riesgo sistémico aumentó de forma drástica durante la crisis financiera mundial y, en menor medida, durante la crisis de la deuda europea. El banco BBVA desempeñó un papel fundamental, transmitiendo y recibiendo riesgo sistémico de los restantes bancos cotizados. El banco Santander tuvo un papel menor, mientras que los bancos más pequeños, Sabadell y Bankinter, no tuvieron ningún papel determinante, incluso entre ellos mismos. Finalmente, el principal impacto sistémico de los bancos españoles sobre el sistema financiero europeo se origina desde los bancos BBVA, Popular y Santander, mientras que los restantes bancos cotizados tienen un papel menor en la transmisión de riesgos. Los resultados obtenidos tienen implicaciones para la regulación de capital de las instituciones financieras y para las decisiones de gestión de riesgos de los inversores.

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Funding information

Juan C. Reboredo acknowledges financial support provided by the Xunta de Galicia and FEDER [research grant GPC2013-045]. Andrea Ugolini acknowledges the financial support by the project MIUR PRIN MISURA ? Multivariate Models for Risk Assessment.

Funders

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