Using multi-state markov models to identify credit card risk
dc.contributor.author | RINALDO ARTES | |
dc.contributor.author | Régis, Daniel Evangelista | |
dc.coverage.cidade | São Paulo | pt_BR |
dc.coverage.pais | Brasil | pt_BR |
dc.creator | Régis, Daniel Evangelista | |
dc.date.accessioned | 2022-08-15T14:56:27Z | |
dc.date.available | 2022-08-15T14:56:27Z | |
dc.date.issued | 2016 | |
dc.description.notes | Texto completo | pt_BR |
dc.description.other | The main interest of this work is to analyze the application of multi-state Markov models to evaluate credit card risk by investigating the characteristics of different state transitions in client-institution relationships over time, thereby generating score models for various purposes. We also used logistic regression models to compare the results with those obtained using multi-state Markov models. The models were applied to an actual database of a Brazilian financial institution. In this application, multi-state Markov models performed better than logistic regression models in predicting default risk, and logistic regression models performed better in predicting cancellation risk. | pt_BR |
dc.format.extent | p. 220-344 | pt_BR |
dc.format.medium | Digital | pt_BR |
dc.identifier.doi | http://dx.doi.org/10.1590/0103-6513.160814 | pt_BR |
dc.identifier.issn | 01036513 | pt_BR |
dc.identifier.issn | 19805411 | pt_BR |
dc.identifier.issue | 2 | pt_BR |
dc.identifier.uri | https://repositorio.insper.edu.br/handle/11224/3990 | |
dc.identifier.volume | 26 | pt_BR |
dc.language.iso | Inglês | pt_BR |
dc.publisher | Associação Brasileira de Engenharia de Produção | pt_BR |
dc.relation.ispartof | Production | pt_BR |
dc.rights.license | O INSPER E ESTE REPOSITÓRIO NÃO DETÊM OS DIREITOS DE USO E REPRODUÇÃO DOS CONTEÚDOS AQUI REGISTRADOS. É RESPONSABILIDADE DOS USUÁRIOS INDIVIDUAIS VERIFICAR OS USOS PERMITIDOS NA FONTE ORIGINAL, RESPEITANDO-SE OS DIREITOS DE AUTOR OU EDITOR | pt_BR |
dc.subject.keywords | credit scoring | pt_BR |
dc.subject.keywords | survival analysis | pt_BR |
dc.subject.keywords | Multi-state Markov models | pt_BR |
dc.subject.keywords | Credit cards | pt_BR |
dc.subject.keywords | Markov processes | pt_BR |
dc.title | Using multi-state markov models to identify credit card risk | pt_BR |
dc.type | journal article | |
dspace.entity.type | Publication | |
local.subject.cnpq | Ciências Exatas e da Terra | pt_BR |
local.type | Artigo Científico | pt_BR |
relation.isAuthorOfPublication | 8b791c94-f3e5-4e04-af26-594195a8f576 | |
relation.isAuthorOfPublication.latestForDiscovery | 8b791c94-f3e5-4e04-af26-594195a8f576 |
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