Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorVegas Lozano, Esteban-
dc.contributor.advisorReverter Comes, Ferran-
dc.contributor.advisorTorra Porras, Salvador-
dc.contributor.authorRusiñol de Rueda, Marcos-
dc.descriptionTreballs Finals del Grau d'Economia i Estadística. Doble titulació interuniversitària, Universitat de Barcelona i Universitat Politècnica de Catalunya. Curs: 2019-2020. Tutors: Esteban Vegas Lozano ; Ferran Reverter Comes; Salvador Torra Porrasca
dc.description.abstract(eng) The main objective of the thesis is to apply a Neural Network (NN) approach in the PD used to assess whether a credit operation is granted or not. That is, given an operation, the NN model should predict whether it is granted [0], or not granted [1]. Credit Risk Models and Deep Learning concepts are also
dc.format.extent116 p.-
dc.rightscc by-nc-nd (c) Rusiñol de Rueda, 2019-
dc.subject.classificationRisc de crèdit-
dc.subject.classificationIntel·ligència artificial-
dc.subject.classificationTreballs de fi de grau-
dc.subject.otherCredit risk-
dc.subject.otherArtificial intelligence-
dc.subject.otherBachelor's theses-
dc.titleTwo-Layer Feed Forward Neural Network (TLFN) in Predicting Loan Default Probabilityeng
Appears in Collections:Treballs Finals de Grau (TFG) - Estadística i Economia (Doble Grau UB-UPC)

Files in This Item:
File Description SizeFormat 
TFG.pdf3.71 MBAdobe PDFView/Open

This item is licensed under a Creative Commons License Creative Commons