Models and methodologies for credit scoring in personal banking: A literature review
This paper provides a literature review on risk scoring models for credit granting in personal banking. The methods by Abdou & Pointon (2011), Glennon, Kiefer, Larson, & Choi (2008), and Saavedra-García (2010) are considered. The aim is to create a sorting scheme to explain the multipl...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | Spanish |
Published: |
Instituto Tecnológico Metropolitano
2017-06-01
|
Series: | Revista CEA |
Subjects: | |
Online Access: | https://revistas.itm.edu.co/index.php/revista-cea/article/view/645/643 |
id |
doaj-e643481459ec4a28853977dc67ee43d9 |
---|---|
record_format |
Article |
spelling |
doaj-e643481459ec4a28853977dc67ee43d92020-11-25T00:34:53ZspaInstituto Tecnológico MetropolitanoRevista CEA2390-07252422-31822017-06-0135132810.22430/24223182.645Models and methodologies for credit scoring in personal banking: A literature reviewDavid Esteban Rodríguez-Guevara0Jairo Alfonso Becerra-Arévalo1Daniel Cardona-Valencia2Instituto Tecnológico MetropolitanoInstituto Tecnológico MetropolitanoInstituto Tecnológico MetropolitanoThis paper provides a literature review on risk scoring models for credit granting in personal banking. The methods by Abdou & Pointon (2011), Glennon, Kiefer, Larson, & Choi (2008), and Saavedra-García (2010) are considered. The aim is to create a sorting scheme to explain the multiple mathematical and econometrical models used for credit scoring and to produce an up-to-date list supported by scholars and experts in the field.https://revistas.itm.edu.co/index.php/revista-cea/article/view/645/643discriminant analysiscredit scoreparametric modelsnon-parametric modelssemiparametric models |
collection |
DOAJ |
language |
Spanish |
format |
Article |
sources |
DOAJ |
author |
David Esteban Rodríguez-Guevara Jairo Alfonso Becerra-Arévalo Daniel Cardona-Valencia |
spellingShingle |
David Esteban Rodríguez-Guevara Jairo Alfonso Becerra-Arévalo Daniel Cardona-Valencia Models and methodologies for credit scoring in personal banking: A literature review Revista CEA discriminant analysis credit score parametric models non-parametric models semiparametric models |
author_facet |
David Esteban Rodríguez-Guevara Jairo Alfonso Becerra-Arévalo Daniel Cardona-Valencia |
author_sort |
David Esteban Rodríguez-Guevara |
title |
Models and methodologies for credit scoring in personal banking: A literature review |
title_short |
Models and methodologies for credit scoring in personal banking: A literature review |
title_full |
Models and methodologies for credit scoring in personal banking: A literature review |
title_fullStr |
Models and methodologies for credit scoring in personal banking: A literature review |
title_full_unstemmed |
Models and methodologies for credit scoring in personal banking: A literature review |
title_sort |
models and methodologies for credit scoring in personal banking: a literature review |
publisher |
Instituto Tecnológico Metropolitano |
series |
Revista CEA |
issn |
2390-0725 2422-3182 |
publishDate |
2017-06-01 |
description |
This paper provides a literature review on risk
scoring models for credit granting in personal
banking. The methods by Abdou & Pointon
(2011), Glennon, Kiefer, Larson, & Choi (2008),
and Saavedra-García (2010) are considered.
The aim is to create a sorting scheme to explain
the multiple mathematical and econometrical
models used for credit scoring and to produce
an up-to-date list supported by scholars and
experts in the field. |
topic |
discriminant analysis credit score parametric models non-parametric models semiparametric models |
url |
https://revistas.itm.edu.co/index.php/revista-cea/article/view/645/643 |
work_keys_str_mv |
AT davidestebanrodriguezguevara modelsandmethodologiesforcreditscoringinpersonalbankingaliteraturereview AT jairoalfonsobecerraarevalo modelsandmethodologiesforcreditscoringinpersonalbankingaliteraturereview AT danielcardonavalencia modelsandmethodologiesforcreditscoringinpersonalbankingaliteraturereview |
_version_ |
1725311597261357056 |