Publicação
Analyses of default predicted models for a single family loan
| datacite.subject.fos | Ciências Sociais::Economia e Gestão | pt_PT |
| dc.contributor.advisor | Rocha, Gonçalo | |
| dc.contributor.author | Preto, Ana Figueiredo Costa | |
| dc.date.accessioned | 2016-08-04T09:27:01Z | |
| dc.date.available | 2016-08-04T09:27:01Z | |
| dc.date.issued | 2016-06 | |
| dc.date.submitted | 2016-06 | |
| dc.description | A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics | en |
| dc.description.abstract | This study aims to explore the possibility of a financial entity to produce a predicted model of default. The study aims to compares the performance of an existing model, the FICO and an alternative model, based on cluster analysis method with dataset available. A third option is presented for the analyses of default, which it is the junction of both models. This third method can be implemented in two different ways: the two models agreeing with acceptance of the loan or the two models approving the rejection of the loan. | pt_PT |
| dc.identifier.tid | 201525976 | |
| dc.identifier.uri | http://hdl.handle.net/10362/18615 | |
| dc.language.iso | eng | pt_PT |
| dc.subject | Credit Scoring | pt_PT |
| dc.subject | Clustering Analyses | pt_PT |
| dc.subject | Mortgage default | pt_PT |
| dc.subject | Behaviour | pt_PT |
| dc.subject | Statistical Model | pt_PT |
| dc.title | Analyses of default predicted models for a single family loan | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | Mestrado em Gestão | pt_PT |