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Título:
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Splitting credit risk into systemic, sectorial and idiosyncratic components
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Autores:
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Chamizo Cana, Álvaro ;
Novales Cinca, Alfonso
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Tipo de documento:
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texto impreso
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Editorial:
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Fac. de Ciencias Económicas y Empresariales. Instituto Complutense de Análisis Económico (ICAE), 2019
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Dimensiones:
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application/pdf
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Nota general:
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cc_by_nc_sa
info:eu-repo/semantics/openAccess
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Idiomas:
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Palabras clave:
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Estado = Publicado
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Materia = Ciencias: Matemáticas: Economía financiera
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Materia = Ciencias Sociales: Economía: Crisis económicas
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Materia = Ciencias Sociales: Economía: Economía internacional
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Tipo = Documento de trabajo o Informe técnico
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Resumen:
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We provide a methodology to estimate a global credit risk factor from CDS spreads that can be very useful for risk management. The global risk factor (GRF) reproduces quite well the different epis- odes that have affected the credit market over the sample period. It is highly correlated with standard credit indices, but it contains much higher explanatory power for fluctuations in CDS spreads across sectors than the credit indices themselves. The additional information content over iTraxx seems to be related to some financial interest r ates. We first use the estimated GRF to analyze the extent to which the eleven sectors we consider are systemic. After that, we use it to split the credit risk of indi- vidual issuers into systemic, sectorial, and idiosyncratic components, and we perform some analyses to test that the estimated idiosyncratic components are actually firm-specific. The systemic and sec- torial components explain around 65% of credit risk in the European industrial and financial firms and 50% in the North American firms in those sectors, while 35% and 50% of risk, respectively, has an idiosyncratic nature. Thus, there is a significant margin for portfolio diversification. We also show that our decomposition allows us to identify those firms whose credit would be harder to hedge. We end up analyzing the relationship between the estimated components of risk and some synthetic risk factors, in order to learn about the different nature of the credit risk components.
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En línea:
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https://eprints.ucm.es/57380/1/1930.pdf
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