CAMEL vs discriminant, a risk analysis to the Venezuelan financial system
This paper presents the credit ratings of the institutions belonging to the Venezuelan financial system at the end of the first half of 2010, obtained by applying two methods: the first known as CAMEL and the second through a statistical technique called analysis discriminant, the latter will qualif...
- Autores:
-
Crespo, Jesús Yoel
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad EAFIT
- Repositorio:
- Repositorio EAFIT
- Idioma:
- spa
- OAI Identifier:
- oai:repository.eafit.edu.co:10784/15496
- Acceso en línea:
- http://hdl.handle.net/10784/15496
- Palabra clave:
- C12
C11
B23
CAMEL
Discriminant Analysis
Risk Rating
the Venezuelan financial system
CAMEL
Análisis discriminante
Calificación de Riesgo
Sistema Financiero Venezolano
- Rights
- License
- Copyright (c) 2011 Jesús Yoel Crespo
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Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees28/10/20112020-01-31T18:34:24Z28/10/20112020-01-31T18:34:24Z2462-81071657-4206http://hdl.handle.net/10784/15496This paper presents the credit ratings of the institutions belonging to the Venezuelan financial system at the end of the first half of 2010, obtained by applying two methods: the first known as CAMEL and the second through a statistical technique called analysis discriminant, the latter will qualify for financial institutions in risk categories, form a profile that shows the most representative feature of the category and quantify the probability of belonging to a rating. This research does not establish whether one model is better than the other, but show that you can supplement purely descriptive analysis multivariate analysis, applied to an area of knowledge that has been little exploited in Venezuela, allowing to inform the public at large , the statistical techniques used in risk.El artículo presentan las calificaciones de riesgo de las instituciones pertenecientes al sistema financiero venezolano al cierre del primer semestre del año 2010, obtenidas mediante la aplicación de dos metodologías: la primera conocida como CAMEL y la segunda a través de una técnica estadística denominada análisis discriminante, esta última permitirá clasificar a las instituciones financieras en categorías de riesgo, formar un perfil que muestre las característica más representativa de las categoría y cuantificar la probabilidad de pertenecer a una calificación. La investigación pretende establecer si un modelo es mejor que el otro, sino demostrar que se puede complementar el análisis netamente descriptivo con el análisis multivariante, aplicándolo en un área del saber que ha sido poco explotada en Venezuela, permitiendo informar a la colectividad en general, las técnicas estadísticas empleadas en materia de riesgo.application/pdfspaUniversidad EAFITEcos de Economía, Vol 15, No 33 (2011)http://publicaciones.eafit.edu.co/index.php/ecos-economia/article/view/447/450http://publicaciones.eafit.edu.co/index.php/ecos-economia/article/view/447/450Copyright (c) 2011 Jesús Yoel CrespoAcceso abiertohttp://purl.org/coar/access_right/c_abf2instname:Universidad EAFITreponame:Repositorio Institucional Universidad EAFITEcos de Economía, Vol 15, No 33 (2011)C12C11B23CAMELDiscriminant AnalysisRisk Ratingthe Venezuelan financial systemCAMELAnálisis discriminanteCalificación de RiesgoSistema Financiero VenezolanoCAMEL vs discriminant, a risk analysis to the Venezuelan financial systemCAMEL vs. discriminante, un análisis de riesgo al sistema financiero venezolanoarticleinfo:eu-repo/semantics/articlepublishedVersioninfo:eu-repo/semantics/publishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Crespo, Jesús Yoelc29213f4-64af-401b-ae89-975098bd0cef-1Universidad Nacional Experimental Politécnica de las Fuerzas Armadas NacionalEcos de Economia: A Latin American journal of applied economics15332547Ecos de EconomíaORIGINALdocument - 2020-03-11T105233.119.pdfdocument - 2020-03-11T105233.119.pdfTexto completo PDFapplication/pdf2091905https://repository.eafit.edu.co/bitstreams/ccbc5610-7c22-49f8-944a-1f8c3c5af8b7/downloada40358f27de255f97dcb3c30a3afd225MD51articulo.htmlarticulo.htmlTexto completo HTMLtext/html376https://repository.eafit.edu.co/bitstreams/f15d240e-4c75-4590-9f70-38073bad2efd/download51f443755c15fb2b53d202b005e75a42MD53THUMBNAILminaitura-ecos_Mesa de trabajo 1.jpgminaitura-ecos_Mesa de trabajo 1.jpgimage/jpeg251248https://repository.eafit.edu.co/bitstreams/58c5d0d4-831c-47d9-a719-cb45905fa592/download9b15d674b076c1793a0bc25cebb1bcefMD5210784/15496oai:repository.eafit.edu.co:10784/154962024-12-04 11:49:09.886open.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co |
dc.title.eng.fl_str_mv |
CAMEL vs discriminant, a risk analysis to the Venezuelan financial system |
dc.title.spa.fl_str_mv |
CAMEL vs. discriminante, un análisis de riesgo al sistema financiero venezolano |
title |
CAMEL vs discriminant, a risk analysis to the Venezuelan financial system |
spellingShingle |
CAMEL vs discriminant, a risk analysis to the Venezuelan financial system C12 C11 B23 CAMEL Discriminant Analysis Risk Rating the Venezuelan financial system CAMEL Análisis discriminante Calificación de Riesgo Sistema Financiero Venezolano |
title_short |
CAMEL vs discriminant, a risk analysis to the Venezuelan financial system |
title_full |
CAMEL vs discriminant, a risk analysis to the Venezuelan financial system |
title_fullStr |
CAMEL vs discriminant, a risk analysis to the Venezuelan financial system |
title_full_unstemmed |
CAMEL vs discriminant, a risk analysis to the Venezuelan financial system |
title_sort |
CAMEL vs discriminant, a risk analysis to the Venezuelan financial system |
dc.creator.fl_str_mv |
Crespo, Jesús Yoel |
dc.contributor.author.spa.fl_str_mv |
Crespo, Jesús Yoel |
dc.contributor.affiliation.spa.fl_str_mv |
Universidad Nacional Experimental Politécnica de las Fuerzas Armadas Nacional |
dc.subject.none.fl_str_mv |
C12 C11 B23 |
topic |
C12 C11 B23 CAMEL Discriminant Analysis Risk Rating the Venezuelan financial system CAMEL Análisis discriminante Calificación de Riesgo Sistema Financiero Venezolano |
dc.subject.keyword.eng.fl_str_mv |
CAMEL Discriminant Analysis Risk Rating the Venezuelan financial system |
dc.subject.keyword.spa.fl_str_mv |
CAMEL Análisis discriminante Calificación de Riesgo Sistema Financiero Venezolano |
description |
This paper presents the credit ratings of the institutions belonging to the Venezuelan financial system at the end of the first half of 2010, obtained by applying two methods: the first known as CAMEL and the second through a statistical technique called analysis discriminant, the latter will qualify for financial institutions in risk categories, form a profile that shows the most representative feature of the category and quantify the probability of belonging to a rating. This research does not establish whether one model is better than the other, but show that you can supplement purely descriptive analysis multivariate analysis, applied to an area of knowledge that has been little exploited in Venezuela, allowing to inform the public at large , the statistical techniques used in risk. |
publishDate |
2020 |
dc.date.available.none.fl_str_mv |
2020-01-31T18:34:24Z |
dc.date.accessioned.none.fl_str_mv |
2020-01-31T18:34:24Z |
dc.date.issued.none.fl_str_mv |
28/10/2011 |
dc.date.none.fl_str_mv |
28/10/2011 |
dc.type.eng.fl_str_mv |
article info:eu-repo/semantics/article publishedVersion info:eu-repo/semantics/publishedVersion |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.local.spa.fl_str_mv |
Artículo |
status_str |
publishedVersion |
dc.identifier.issn.none.fl_str_mv |
2462-8107 1657-4206 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10784/15496 |
identifier_str_mv |
2462-8107 1657-4206 |
url |
http://hdl.handle.net/10784/15496 |
dc.language.iso.none.fl_str_mv |
spa |
language |
spa |
dc.relation.ispartof.none.fl_str_mv |
Ecos de Economía, Vol 15, No 33 (2011) |
dc.relation.isversionof.none.fl_str_mv |
http://publicaciones.eafit.edu.co/index.php/ecos-economia/article/view/447/450 |
dc.relation.uri.none.fl_str_mv |
http://publicaciones.eafit.edu.co/index.php/ecos-economia/article/view/447/450 |
dc.rights.eng.fl_str_mv |
Copyright (c) 2011 Jesús Yoel Crespo |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.local.spa.fl_str_mv |
Acceso abierto |
rights_invalid_str_mv |
Copyright (c) 2011 Jesús Yoel Crespo Acceso abierto http://purl.org/coar/access_right/c_abf2 |
dc.format.none.fl_str_mv |
application/pdf |
dc.coverage.spatial.eng.fl_str_mv |
Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees |
dc.publisher.spa.fl_str_mv |
Universidad EAFIT |
dc.source.none.fl_str_mv |
instname:Universidad EAFIT reponame:Repositorio Institucional Universidad EAFIT |
dc.source.spa.fl_str_mv |
Ecos de Economía, Vol 15, No 33 (2011) |
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Universidad EAFIT |
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Repositorio Institucional Universidad EAFIT |
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