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Please use this identifier to cite or link to this item: http://hdl.handle.net/10400.5/1663

Título: On recovery and intensity's correlation : a new class of credit risk models
Autor: Gaspar, Raquel M.
Slinko, Irina
Palavras-chave: Credit Risk
Systematic Risk
Intensity Models
Recovery
Credit Spreads
Issue Date: Jul-2007
Editora: ISEG – Departamento de Gestão
Citação: Gaspar, Raquel M., Irina Slinko. 2007. "On recovery and intensity's correlation : a new class of credit risk models". Instituto Superior de Economia e Gestão – Departamento de Gestão Working papers series 1-2007.
Relatório da Série N.º: Working papers series;1/2007
Resumo: There has been increasing support in the empirical literature that both the probability of default (PD) and the loss given default (LGD) are correlated and driven by macroeconomic variables. Paradoxically, there has been very little effort from the theoretical literature to develop credit risk models that would include this possibility. The goals of this paper are: first, to develop the theoretical reduced-form framework needed to handle stochastic correlation of recovery and intensity, proposing a new class of models; and, second, to use concrete instance of our class to study the impact of this correlation in credit risk term structures. Our class of models is able to replicate and explain empirically observed features. For instance, we automatically get that periods of economic depression are periods of higher default intensity and where low recovery is more likely - the well-know credit risk business cycle effect. Finally, we show how to calibrate this class of models to market data, and illustrate the technique using our concrete instance using US market data on corporate yields.
URI: http://hdl.handle.net/10400.5/1663
ISSN: 0874-8470
Versão do Editor: http://www.iseg.utl.pt/departamentos/gestao/wp/N1_2007.pdf
Appears in Collections:DG - Documentos de trabalho / Working Papers

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