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Consumer Default Risk Assessment in a Banking Institution

dc.contributor.authorSilva, Eliana Costa e
dc.contributor.authorLopes, Isabel Cristina
dc.contributor.authorCorreia, Aldina
dc.contributor.authorFaria, Susana
dc.date.accessioned2017-07-19T15:17:38Z
dc.date.available2017-07-19T15:17:38Z
dc.date.issued2016
dc.description.abstractCredit scoring is an application of financial risk forecasting to consumer lending. In this study, statistical analysis is applied to credit scoring data from a financial institution to evaluate the default risk of consumer loans. The default risk was found to be influenced by the spread, the age of the consumer, the number of credit cards owned by the consumer. A lower spread, a higher number of credit cards and a younger age of the borrower are factors that decrease the risk of default. Clients receiving the salary in the same banking institution of the loan have less chances of default than clients receiving their salary in another institution. We also found that clients in the lowest income tax echelon have more propensity to default.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1063/1.4968736pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/10108
dc.language.isoengpt_PT
dc.publisherAmerican Institute of Physicspt_PT
dc.subjectData analysispt_PT
dc.subjectNonparametric statistical testspt_PT
dc.subjectCredit scoringpt_PT
dc.subjectFinancial mathematicspt_PT
dc.subjectActuarial sciencespt_PT
dc.titleConsumer Default Risk Assessment in a Banking Institutionpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleAIP Conference Proceedingspt_PT
person.familyNameLopes
person.givenNameIsabel Cristina
person.identifier2277025
person.identifier.ciencia-idBC14-DF88-AEBC
person.identifier.orcid0000-0002-4833-470X
person.identifier.ridL-7458-2017
person.identifier.scopus-author-id36185835200
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication70af5a18-432a-4ef9-862d-c5a79581c255
relation.isAuthorOfPublication.latestForDiscovery70af5a18-432a-4ef9-862d-c5a79581c255

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