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Default risk assessment is crucial in the banking activity. Different models were developed in the literature using the discriminant analysis, logistic regression and data mining techniques. In this paper the logistic regression was applied to verify models proposed by R. Jagiełło for different sectors. As an alternative, the logistic regression model with the nominal variable SECTOR was applied on...
We explore how general economic conditions impact defaults and major credit rating changes by fitting reduced-form Cox intensity models with a broad range of macroeconomic and firm-specific ratings-related variables. For all corporate issuers in the period 1981–2002 we find both types of factors strongly influenced the risk of a credit event. However, while the effects of ratings-related factors were...
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