The determinants of bankruptcy and default of real sector companies in Colombia for a differentiated government policy / Juan Sergio Cruz, Enrique Vargas García.

By: Cruz, Juan Sergio [autor.]Contributor(s): Colegio de Estudios Superiores de Administración. Cesa | Vargas García, Enrique [coautor]Material type: TextTextLanguage: English Series: Borradores de administración ; No.32 July 10 de 2009Publisher: [Bogotá] : Colegio de Estudios Superiores de Administración-CESA, 2009Description: 23 páginas : ilustracionesContent type: texto Media type: sin mediación Carrier type: volumenSubject(s): Empresas colombianas | Modelos econométricosDDC classification: 332.7509861 Online resources: _ Abstract: Colombia is experiencing a new economic recession. It is depth and duration will affect the stability of Colombian companies. The IMF has already projected a negative economic growth of 0.3 percent for the GDP in 2009. Regarding these expectations, the dominant interpretations for analyzing the fragility of companies follow analytic models that are essentially of closed economies, which have inspired the analytical instruments. Through binomial Logit regression techniques, several general econometric models have been developed to establish the probability of bankruptcy and the probability of default for companies, as well as specific models to determine these probabilities in sectors and subsectors.
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Colombia is experiencing a new economic recession. It is depth and duration will affect the stability of Colombian companies. The IMF has already projected a negative economic growth of 0.3 percent for the GDP in 2009. Regarding these expectations, the dominant interpretations for analyzing the fragility of companies follow analytic models that are essentially of closed economies, which have inspired the analytical instruments. Through binomial Logit regression techniques, several general econometric models have been developed to establish the probability of bankruptcy and the probability of default for companies, as well as specific models to determine these probabilities in sectors and subsectors.

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