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dc.contributor.advisorPicchetti, Paulo
dc.contributor.authorAndrade, Rodrigo Augusto Silva de
dc.date.accessioned2011-05-31T15:39:00Z
dc.date.issued2010-05-28
dc.identifier.citationANDRADE, Rodrigo Augusto Silva de. Default mercado de crédito parcelado para bens duráveis: veículos automotores. Dissertação (Mestrado em Economia de Empresas) - FGV - Fundação Getúlio Vargas, São Paulo, 2010.
dc.identifier.urihttp://hdl.handle.net/10438/8267
dc.description.abstractThe present work aims to study the macroeconomic factors influence in credit risk for installment autoloans operations. The study is based on 4.887 credit operations surveyed in the Credit Risk Information System (SCR) hold by the Brazilian Central Bank. Using Survival Analysis applied to interval censured data, we achieved a model to estimate the hazard function and we propose a method for calculating the probability of default in a twelve month period. Our results indicate a strong time dependence for the hazard function by a polynomial approximation in all estimated models. The model with the best Akaike Information Criteria estimate a positive effect of 0,07% for males over de basic hazard function, and 0,011% for the increasing of ten base points on the operation annual interest rate, toward, for each R$ 1.000,00 on the installment, the hazard function suffer a negative effect of 0,28% , and an estimated elevation of 0,0069% for the same amount added to operation contracted value. For de macroeconomics factors, we find statistically significant effects for the unemployment rate (-0,12%) , for the one lag of the unemployment rate (0,12%), for the first difference of the industrial product index(-0,008%), for one lag of inflation rate (-0,13%) and for the exchange rate (-0,23%). We do not find statistic significant results for all other tested variables.por
dc.description.abstractThe present work aims to study the macroeconomic factors influence in credit risk for installment autoloans operations. The study is based on 4.887 credit operations surveyed in the Credit Risk Information System (SCR) hold by the Brazilian Central Bank. Using Survival Analysis applied to interval censured data, we achieved a model to estimate the hazard function and we propose a method for calculating the probability of default in a twelve month period. Our results indicate a strong time dependence for the hazard function by a polynomial approximation in all estimated models. The model with the best Akaike Information Criteria estimate a positive effect of 0,07% for males over de basic hazard function, and 0,011% for the increasing of ten base points on the operation annual interest rate, toward, for each R$ 1.000,00 on the installment, the hazard function suffer a negative effect of 0,28% , and an estimated elevation of 0,0069% for the same amount added to operation contracted value. For de macroeconomics factors, we find statistically significant effects for the unemployment rate (-0,12%) , for the one lag of the unemployment rate (0,12%), for the first difference of the industrial product index(-0,008%), for one lag of inflation rate (-0,13%) and for the exchange rate (-0,23%). We do not find statistic significant results for all other tested variables.eng
dc.language.isopor
dc.subjectCredit riskeng
dc.subjectSurvivor analysiseng
dc.subjectMacroeconomic factoreng
dc.subjectRisco de créditopor
dc.subjectAnálise de sobrevivênciapor
dc.subjectFatores macroeconômicospor
dc.titleDefault mercado de crédito parcelado para bens duráveis: veículos automotorespor
dc.typeDissertationeng
dc.embargo.termsforevereng
dc.embargo.liftdate10000-01-01
dc.subject.areaEconomiapor
dc.contributor.unidadefgvEscolas::EESPpor
dc.subject.bibliodataAdministração de créditopor
dc.subject.bibliodataAvaliação de riscospor
dc.subject.bibliodataRisco (Economia)por
dc.subject.bibliodataAutomóveis - Comprapor


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