Default mercado de crédito parcelado para bens duráveis: veículos automotores
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Institucional do FGV (FGV Repositório Digital) |
Texto Completo: | http://hdl.handle.net/10438/8267 |
Resumo: | The 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. |
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Andrade, Rodrigo Augusto Silva deEscolas::EESPPicchetti, Paulo2011-05-31T15:39:00Z2010-05-28ANDRADE, 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.http://hdl.handle.net/10438/8267The 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.The 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.porCredit riskSurvivor analysisMacroeconomic factorRisco de créditoAnálise de sobrevivênciaFatores macroeconômicosEconomiaAdministração de créditoAvaliação de riscosRisco (Economia)Automóveis - CompraDefault mercado de crédito parcelado para bens duráveis: veículos automotoresinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisforever10000-01-01reponame:Repositório Institucional do FGV (FGV Repositório Digital)instname:Fundação Getulio Vargas (FGV)instacron:FGVinfo:eu-repo/semantics/openAccessORIGINAL63080100015.pdf63080100015.pdfapplication/pdf781749https://repositorio.fgv.br/bitstreams/660bbfdd-96ca-46bb-b164-03c94c644728/download32dd660d87d63789ab4a0ee0600ce50dMD51LICENSElicense.txtlicense.txttext/plain; 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dc.title.por.fl_str_mv |
Default mercado de crédito parcelado para bens duráveis: veículos automotores |
title |
Default mercado de crédito parcelado para bens duráveis: veículos automotores |
spellingShingle |
Default mercado de crédito parcelado para bens duráveis: veículos automotores Andrade, Rodrigo Augusto Silva de Credit risk Survivor analysis Macroeconomic factor Risco de crédito Análise de sobrevivência Fatores macroeconômicos Economia Administração de crédito Avaliação de riscos Risco (Economia) Automóveis - Compra |
title_short |
Default mercado de crédito parcelado para bens duráveis: veículos automotores |
title_full |
Default mercado de crédito parcelado para bens duráveis: veículos automotores |
title_fullStr |
Default mercado de crédito parcelado para bens duráveis: veículos automotores |
title_full_unstemmed |
Default mercado de crédito parcelado para bens duráveis: veículos automotores |
title_sort |
Default mercado de crédito parcelado para bens duráveis: veículos automotores |
author |
Andrade, Rodrigo Augusto Silva de |
author_facet |
Andrade, Rodrigo Augusto Silva de |
author_role |
author |
dc.contributor.unidadefgv.por.fl_str_mv |
Escolas::EESP |
dc.contributor.author.fl_str_mv |
Andrade, Rodrigo Augusto Silva de |
dc.contributor.advisor1.fl_str_mv |
Picchetti, Paulo |
contributor_str_mv |
Picchetti, Paulo |
dc.subject.eng.fl_str_mv |
Credit risk Survivor analysis Macroeconomic factor |
topic |
Credit risk Survivor analysis Macroeconomic factor Risco de crédito Análise de sobrevivência Fatores macroeconômicos Economia Administração de crédito Avaliação de riscos Risco (Economia) Automóveis - Compra |
dc.subject.por.fl_str_mv |
Risco de crédito Análise de sobrevivência Fatores macroeconômicos |
dc.subject.area.por.fl_str_mv |
Economia |
dc.subject.bibliodata.por.fl_str_mv |
Administração de crédito Avaliação de riscos Risco (Economia) Automóveis - Compra |
description |
The 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. |
publishDate |
2010 |
dc.date.issued.fl_str_mv |
2010-05-28 |
dc.date.accessioned.fl_str_mv |
2011-05-31T15:39:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
ANDRADE, 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.uri.fl_str_mv |
http://hdl.handle.net/10438/8267 |
identifier_str_mv |
ANDRADE, 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. |
url |
http://hdl.handle.net/10438/8267 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
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institution |
FGV |
reponame_str |
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collection |
Repositório Institucional do FGV (FGV Repositório Digital) |
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https://repositorio.fgv.br/bitstreams/660bbfdd-96ca-46bb-b164-03c94c644728/download https://repositorio.fgv.br/bitstreams/208db675-3091-44e2-92da-324a704d94da/download https://repositorio.fgv.br/bitstreams/bd69cfec-fd81-4d86-a5ab-7bc1978cadae/download https://repositorio.fgv.br/bitstreams/f0860327-dc2b-4dfc-9d0d-65d51aeb4616/download |
bitstream.checksum.fl_str_mv |
32dd660d87d63789ab4a0ee0600ce50d 4dea6f7333914d9740702a2deb2db217 857e38c33df14ae431c50edefe8f8269 b72b7838bbb083470d01b5003d0527c9 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositório Institucional do FGV (FGV Repositório Digital) - Fundação Getulio Vargas (FGV) |
repository.mail.fl_str_mv |
|
_version_ |
1813797626911391744 |