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...
- Autores:
- Tipo de recurso:
- 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
- Rights
- License
- http://purl.org/coar/access_right/c_16ec
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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 |
_version_ |
1814159115466833920 |