Information system for the measurement of credit risk in financial institutions [Sistema de Información para la medición del Riesgo de Crédito en Entidades Financieras]

The measurement of credit risk is a major concern for financial institutions that are dedicated to placing resources and therefore, require elements that allow them to perform analysis and monitoring of the evolution of the credit behavior of their clients, in this way they can minimize future losse...

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Fecha de publicación:
2019
Institución:
Universidad de Medellín
Repositorio:
Repositorio UDEM
Idioma:
spa
OAI Identifier:
oai:repository.udem.edu.co:11407/5821
Acceso en línea:
http://hdl.handle.net/11407/5821
Palabra clave:
Credit risk
Software engineering
Transition matrices
Finance
Information management
Information use
Risk management
Software engineering
Credit risk management
Credit risks
Financial institution
Future loss
Probability of defaults
Transition matrices
Risk assessment
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http://purl.org/coar/access_right/c_16ec
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network_acronym_str REPOUDEM2
network_name_str Repositorio UDEM
repository_id_str
spelling 20192020-04-29T14:54:09Z2020-04-29T14:54:09Z978989984349321660727http://hdl.handle.net/11407/582110.23919/CISTI.2019.8760607The measurement of credit risk is a major concern for financial institutions that are dedicated to placing resources and therefore, require elements that allow them to perform analysis and monitoring of the evolution of the credit behavior of their clients, in this way they can minimize future losses. In order to provide tools that support companies has developed the Credit Risk Management Information System that allows the calculation of the probability of default of customers through transition matrices. This tool is useful for a company in the financial and solidarity sector that allows them to manage credit risk more efficiently. © 2019 AISTI.spaIEEE Computer SocietyIngeniería de Sistemas; Ingeniería de Telecomunicaciones;Ingeniería en EnergíaFacultad de Ingenieríashttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85070087521&doi=10.23919%2fCISTI.2019.8760607&partnerID=40&md5=614a5335bd2994479d46d705838825712019-JuneJorion, P., (2007) Valor en Riesgo, , México: Limusa(2007) CreditMetrics Technical Document, , J. P Morgan & Co., New YorkWilson, T., Portfolio credit risk (1997) Risk Primer, 10 (9)(2004) International Convergence of Capital Measurement and Capital Standards, , Basel Committee on Banking Supervision Bank for International Settlements, BasileaEduard, A., (2003) Medicion Integral Del Riesgo de Credito, , Mexico: LimusaHaro, A.D.L., (2005) Medición y Control de Riesgos Financieros, , México D. F: LimusaColombia, F.D.S., (1995) Gestion de Riesgo de Credito, , BógotaCesar, A.J., (2013) Intridicción Al Analisis de Riesgo Financiero, , Cali: Universidad ICESIA risk-sensitive approach for stressed transition probability matrixes (2018) Journal of Risk Model Validation, 12 (3), p. 24Zapata, A., Modelando el riesgo de crédito en Colombia: Matrices de transición para la cartera comercial. Apuntes de banca y finanzas (2003) ASOBANCARIA, (6). , BogotáBass, L., Clements, P., (1998) Kazman, Software Architecture in Practice, , Addison-WesleyClements, R., Kazman, P., (2001) Evaluating Software Architectures, , Addison WesleyIberian Conference on Information Systems and Technologies, CISTICredit riskSoftware engineeringTransition matricesFinanceInformation managementInformation useRisk managementSoftware engineeringCredit risk managementCredit risksFinancial institutionFuture lossProbability of defaultsTransition matricesRisk assessmentInformation system for the measurement of credit risk in financial institutions [Sistema de Información para la medición del Riesgo de Crédito en Entidades Financieras]Conference Paperinfo:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1Aguilar, D.G., Universidad de Medellín, Medellín, Colombia; Gómez, L.F.M., Universidad de Medellín, Medellín, Colombia; Londoño, D.A.B., Universidad de Medellín, Medellín, Colombia; Zuluaica, C.A., Universidad de Medellín, Medellín, Colombiahttp://purl.org/coar/access_right/c_16ecAguilar D.G.Gómez L.F.M.Londoño D.A.B.Zuluaica C.A.11407/5821oai:repository.udem.edu.co:11407/58212020-05-27 15:54:42.463Repositorio Institucional Universidad de Medellinrepositorio@udem.edu.co
dc.title.none.fl_str_mv Information system for the measurement of credit risk in financial institutions [Sistema de Información para la medición del Riesgo de Crédito en Entidades Financieras]
title Information system for the measurement of credit risk in financial institutions [Sistema de Información para la medición del Riesgo de Crédito en Entidades Financieras]
spellingShingle Information system for the measurement of credit risk in financial institutions [Sistema de Información para la medición del Riesgo de Crédito en Entidades Financieras]
Credit risk
Software engineering
Transition matrices
Finance
Information management
Information use
Risk management
Software engineering
Credit risk management
Credit risks
Financial institution
Future loss
Probability of defaults
Transition matrices
Risk assessment
title_short Information system for the measurement of credit risk in financial institutions [Sistema de Información para la medición del Riesgo de Crédito en Entidades Financieras]
title_full Information system for the measurement of credit risk in financial institutions [Sistema de Información para la medición del Riesgo de Crédito en Entidades Financieras]
title_fullStr Information system for the measurement of credit risk in financial institutions [Sistema de Información para la medición del Riesgo de Crédito en Entidades Financieras]
title_full_unstemmed Information system for the measurement of credit risk in financial institutions [Sistema de Información para la medición del Riesgo de Crédito en Entidades Financieras]
title_sort Information system for the measurement of credit risk in financial institutions [Sistema de Información para la medición del Riesgo de Crédito en Entidades Financieras]
dc.subject.none.fl_str_mv Credit risk
Software engineering
Transition matrices
Finance
Information management
Information use
Risk management
Software engineering
Credit risk management
Credit risks
Financial institution
Future loss
Probability of defaults
Transition matrices
Risk assessment
topic Credit risk
Software engineering
Transition matrices
Finance
Information management
Information use
Risk management
Software engineering
Credit risk management
Credit risks
Financial institution
Future loss
Probability of defaults
Transition matrices
Risk assessment
description The measurement of credit risk is a major concern for financial institutions that are dedicated to placing resources and therefore, require elements that allow them to perform analysis and monitoring of the evolution of the credit behavior of their clients, in this way they can minimize future losses. In order to provide tools that support companies has developed the Credit Risk Management Information System that allows the calculation of the probability of default of customers through transition matrices. This tool is useful for a company in the financial and solidarity sector that allows them to manage credit risk more efficiently. © 2019 AISTI.
publishDate 2019
dc.date.accessioned.none.fl_str_mv 2020-04-29T14:54:09Z
dc.date.available.none.fl_str_mv 2020-04-29T14:54:09Z
dc.date.none.fl_str_mv 2019
dc.type.eng.fl_str_mv Conference Paper
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_2df8fbb1
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/article
dc.identifier.isbn.none.fl_str_mv 9789899843493
dc.identifier.issn.none.fl_str_mv 21660727
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/11407/5821
dc.identifier.doi.none.fl_str_mv 10.23919/CISTI.2019.8760607
identifier_str_mv 9789899843493
21660727
10.23919/CISTI.2019.8760607
url http://hdl.handle.net/11407/5821
dc.language.iso.none.fl_str_mv spa
language spa
dc.relation.isversionof.none.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070087521&doi=10.23919%2fCISTI.2019.8760607&partnerID=40&md5=614a5335bd2994479d46d70583882571
dc.relation.citationvolume.none.fl_str_mv 2019-June
dc.relation.references.none.fl_str_mv Jorion, P., (2007) Valor en Riesgo, , México: Limusa
(2007) CreditMetrics Technical Document, , J. P Morgan & Co., New York
Wilson, T., Portfolio credit risk (1997) Risk Primer, 10 (9)
(2004) International Convergence of Capital Measurement and Capital Standards, , Basel Committee on Banking Supervision Bank for International Settlements, Basilea
Eduard, A., (2003) Medicion Integral Del Riesgo de Credito, , Mexico: Limusa
Haro, A.D.L., (2005) Medición y Control de Riesgos Financieros, , México D. F: Limusa
Colombia, F.D.S., (1995) Gestion de Riesgo de Credito, , Bógota
Cesar, A.J., (2013) Intridicción Al Analisis de Riesgo Financiero, , Cali: Universidad ICESI
A risk-sensitive approach for stressed transition probability matrixes (2018) Journal of Risk Model Validation, 12 (3), p. 24
Zapata, A., Modelando el riesgo de crédito en Colombia: Matrices de transición para la cartera comercial. Apuntes de banca y finanzas (2003) ASOBANCARIA, (6). , Bogotá
Bass, L., Clements, P., (1998) Kazman, Software Architecture in Practice, , Addison-Wesley
Clements, R., Kazman, P., (2001) Evaluating Software Architectures, , Addison Wesley
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_16ec
rights_invalid_str_mv http://purl.org/coar/access_right/c_16ec
dc.publisher.none.fl_str_mv IEEE Computer Society
dc.publisher.program.none.fl_str_mv Ingeniería de Sistemas; Ingeniería de Telecomunicaciones;Ingeniería en Energía
dc.publisher.faculty.none.fl_str_mv Facultad de Ingenierías
publisher.none.fl_str_mv IEEE Computer Society
dc.source.none.fl_str_mv Iberian Conference on Information Systems and Technologies, CISTI
institution Universidad de Medellín
repository.name.fl_str_mv Repositorio Institucional Universidad de Medellin
repository.mail.fl_str_mv repositorio@udem.edu.co
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