Probabilidade de financiamento por cartões de crédito híbridos

Detalhes bibliográficos
Ano de defesa: 2011
Autor(a) principal: Ito, Marcos Kenji
Orientador(a): Botelho, Delane
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Não Informado pela instituição
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Credit cards
Financing
Logistic regression
Regressão logística
Crédito pessoal
Varejo
Palavras-chave em Inglês:
Personal loans
Retail
Link de acesso: http://hdl.handle.net/10438/9100
Resumo: This research aims to identify a statistical model of propensity to revolve through store credit card, in order to maximize the credit appliance and optimize marketing efforts. The descriptive study aims to generate insights for understanding the expansion of consumer credit, in a context of lack of financing options and limitation in distribution channel. There will be a quantitative approach in the customer data base of a financial institution and through the study of socio demographic and transactional it pretends to establish a mathematical model followed by a validation of their predictive ability.
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spelling Ito, Marcos KenjiEscolas::EAESPBarki, Edgard Elie RogerSilva, Marcelo Leite de Moura eBotelho, Delane2012-01-20T19:00:45Z2011-12-20ITO, Marcos Kenji. Probabilidade de financiamento por cartões de crédito híbridos. Dissertação (Mestrado Profissional em Administração de Empresas) - FGV - Fundação Getúlio Vargas, São Paulo, 2011.http://hdl.handle.net/10438/9100This research aims to identify a statistical model of propensity to revolve through store credit card, in order to maximize the credit appliance and optimize marketing efforts. The descriptive study aims to generate insights for understanding the expansion of consumer credit, in a context of lack of financing options and limitation in distribution channel. There will be a quantitative approach in the customer data base of a financial institution and through the study of socio demographic and transactional it pretends to establish a mathematical model followed by a validation of their predictive ability.Esta pesquisa tem o objetivo de identificar as variáveis e sua influência na propensão à aquisição de crédito pessoal, propondo um modelo estatístico de propensão ao financiamento por cartões de crédito híbridos para maximização de contratação de crédito e otimização dos esforços de marketing. O estudo descritivo pode gerar insights para a compreensão da expansão do crédito ao consumo, sobretudo num contexto de escassez de opções de financiamento e limitação no canal de distribuição. Foram usados dados de uma base de clientes de uma instituição financeira com variáveis sócio demográficas e transacionai, e o modelo matemático foi seguido da validação de sua capacidade preditiva.porPersonal loansRetailCredit cardsFinancingLogistic regressionRegressão logísticaCrédito pessoalVarejoAdministração de empresasCartões de créditoEmpréstimo pessoalAnálise de regressão logísticaFinanciamentoProbabilidade de financiamento por cartões de crédito híbridosinfo: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/openAccessORIGINAL20120120 - MPA Marcos Kenji Ito.pdf20120120 - MPA Marcos Kenji Ito.pdfapplication/pdf931031http://bibliotecadigital.fgv.br:80/dspace/bitstream/10438/9100/1/20120120%20-%20MPA%20Marcos%20Kenji%20Ito.pdfe54504c14f74f4f4d321823f6255eda4MD51LICENSElicense.txtlicense.txttext/plain; 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InstitucionalPRI
dc.title.por.fl_str_mv Probabilidade de financiamento por cartões de crédito híbridos
title Probabilidade de financiamento por cartões de crédito híbridos
spellingShingle Probabilidade de financiamento por cartões de crédito híbridos
Ito, Marcos Kenji
Personal loans
Retail
Credit cards
Financing
Logistic regression
Regressão logística
Crédito pessoal
Varejo
Administração de empresas
Cartões de crédito
Empréstimo pessoal
Análise de regressão logística
Financiamento
title_short Probabilidade de financiamento por cartões de crédito híbridos
title_full Probabilidade de financiamento por cartões de crédito híbridos
title_fullStr Probabilidade de financiamento por cartões de crédito híbridos
title_full_unstemmed Probabilidade de financiamento por cartões de crédito híbridos
title_sort Probabilidade de financiamento por cartões de crédito híbridos
author Ito, Marcos Kenji
author_facet Ito, Marcos Kenji
author_role author
dc.contributor.unidadefgv.por.fl_str_mv Escolas::EAESP
dc.contributor.member.none.fl_str_mv Barki, Edgard Elie Roger
Silva, Marcelo Leite de Moura e
dc.contributor.author.fl_str_mv Ito, Marcos Kenji
dc.contributor.advisor1.fl_str_mv Botelho, Delane
contributor_str_mv Botelho, Delane
dc.subject.eng.fl_str_mv Personal loans
Retail
topic Personal loans
Retail
Credit cards
Financing
Logistic regression
Regressão logística
Crédito pessoal
Varejo
Administração de empresas
Cartões de crédito
Empréstimo pessoal
Análise de regressão logística
Financiamento
dc.subject.por.fl_str_mv Credit cards
Financing
Logistic regression
Regressão logística
Crédito pessoal
Varejo
dc.subject.area.por.fl_str_mv Administração de empresas
dc.subject.bibliodata.por.fl_str_mv Cartões de crédito
Empréstimo pessoal
Análise de regressão logística
Financiamento
description This research aims to identify a statistical model of propensity to revolve through store credit card, in order to maximize the credit appliance and optimize marketing efforts. The descriptive study aims to generate insights for understanding the expansion of consumer credit, in a context of lack of financing options and limitation in distribution channel. There will be a quantitative approach in the customer data base of a financial institution and through the study of socio demographic and transactional it pretends to establish a mathematical model followed by a validation of their predictive ability.
publishDate 2011
dc.date.issued.fl_str_mv 2011-12-20
dc.date.accessioned.fl_str_mv 2012-01-20T19:00:45Z
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 ITO, Marcos Kenji. Probabilidade de financiamento por cartões de crédito híbridos. Dissertação (Mestrado Profissional em Administração de Empresas) - FGV - Fundação Getúlio Vargas, São Paulo, 2011.
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10438/9100
identifier_str_mv ITO, Marcos Kenji. Probabilidade de financiamento por cartões de crédito híbridos. Dissertação (Mestrado Profissional em Administração de Empresas) - FGV - Fundação Getúlio Vargas, São Paulo, 2011.
url http://hdl.handle.net/10438/9100
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 reponame:Repositório Institucional do FGV (FGV Repositório Digital)
instname:Fundação Getulio Vargas (FGV)
instacron:FGV
instname_str Fundação Getulio Vargas (FGV)
instacron_str FGV
institution FGV
reponame_str Repositório Institucional do FGV (FGV Repositório Digital)
collection Repositório Institucional do FGV (FGV Repositório Digital)
bitstream.url.fl_str_mv http://bibliotecadigital.fgv.br:80/dspace/bitstream/10438/9100/1/20120120%20-%20MPA%20Marcos%20Kenji%20Ito.pdf
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