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Models and methodologies for credit scoring in personal banking: A literature review

Modelos y metodologías de credit score para personas naturales: una revisión literaria

dc.creatorRodríguez-Guevara, David Esteban
dc.creatorBecerra-Arévalo, Jairo Alfonso
dc.creatorCardona-Valencia, Daniel
dc.date2017-06-30
dc.date.accessioned2021-03-18T21:12:33Z
dc.date.available2021-03-18T21:12:33Z
dc.identifierhttps://revistas.itm.edu.co/index.php/revista-cea/article/view/645
dc.identifier10.22430/24223182.645
dc.identifier.urihttp://test.repositoriodigital.com:8080/handle/123456789/11831
dc.descriptionThis 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.en-US
dc.descriptionEste trabajo pretende aportar literariamente una revisión de los modelos para la calificación del riesgo crediticio (modelos de Credit Score) utilizados en el otorgamiento de crédito personal; teniendo en cuenta los métodos de Abdou & Pointon (2011); Glennon, Kiefer, Larson, & Choi (2008); Saavedra-García & Saavedra-García (2010), se pretende crear un esquema de orden para explicar los múltiples modelos matemáticos y econométricos utilizados en el credit score, con el fin de generar un listado actualizado que esté sustentado por académicos y expertos en el tema.es-ES
dc.formatapplication/pdf
dc.languagespa
dc.publisherInstituto Tecnológico Metropolitano - ITMes-ES
dc.relationhttps://revistas.itm.edu.co/index.php/revista-cea/article/view/645/643
dc.relation/*ref*/Abdou, H. A. & Pointon, J. (2011). Credit Scoring, Statistical Techniques and Evaluation Criteria: A Review of the
dc.relation/*ref*/Literature. Intelligent Systems in Accounting, Finance and Management, 18(2–3), 59–88. http://doi.org/10.1002/isaf.325
dc.relation/*ref*/Akkoç, S. (2012). An empirical comparison of conventional techniques, neural networks and the three stage hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) model for credit scoring analysis: The case of Turkish credit card data. European Journal of Operational Research, 222(1), 168–178. http://doi.org/10.1016/j.ejor.2012.04.009
dc.relation/*ref*/Altman, E. I. (1968). the Prediction of Corporate Bankruptcy. The Journal of Finance, XXIII(September), 589–609.
dc.relation/*ref*/Altman, E. I. (1980). Commercial Bank Lending: Process, Credit Scoring, And Costs Of Errors In Lending. Journal Of Financial And Quantitave Analysis, XV(4), 813–832.
dc.relation/*ref*/Anderson, J. & Narasimhan, R. (1979). Assessing Project Implementation Risk: A Methodological Approach. Management Science, 25(6), 512–521. http://doi.org/10.1287/mnsc.25.6.512
dc.relation/*ref*/Antipov, E. & Pokryshevskaya, E. (2010). Applying CHAID for logistic regression diagnostics and classification accuracy improvement. Journal of Targeting, Measurement and Analysis for Marketing, 18(2), 109–117. http://doi.org/10.1057/jt.2010.3
dc.relation/*ref*/Baesens, B.; Castelo, R. & Vanthienen, J. (2002). Learning Bayesian network classifiers fot credit scoring using Markov Chain Monte Carlo search. Ieee, (2), 2–5.
dc.relation/*ref*/Baklouti, I. (2014). A Credit Scoring Model for Microfinance Bank Based on Fuzzy Classifier Optimized by a Differential Evolution Algorithm. IUP Journal Of Financial Risk Management, 11(2), 7–24.
dc.relation/*ref*/Bult, J. R. (1993). Semiparametric versus Parametric Classification Models: An Application to Direct Marketing. Journal Of Marketing Research, 30(3), 380–390. http://doi.org/10.1007/978-3-642-21551-3
dc.relation/*ref*/Bumacov, V.; Ashta, A. & Singh, P. (2014). The Use of Credit Scoring in Microfi nance Institutions and Their Outreach. Strategic Change, 23(1), 401–413. http://doi.org/10.1002/jsc
dc.relation/*ref*/Chang, K. C.; Fung, R.; Lucas, A.; Oliver, R. & Shikaloff, N. (2000). Bayesian networks applied to credit scoring. IMA Journal of Management Mathematics, 11(1), 1–18. http://doi.org/10.1093/imaman/11.1.1
dc.relation/*ref*/Chaudhuri, K. & Cherical, M. M. (2012). Credit rationing in rural credit markets of India. Applied Economics, 44(7), 803–812. http://doi.org/10.1080/00036846.2010.524627
dc.relation/*ref*/Constangioara, A. (2011). Consumer Credit Scoring. Romanian Journal Of Economic Forecasting, 3, 162–178.
dc.relation/*ref*/Desai, V. S.; Crook, J. N. & Overstreet, G. A. (1996). A comparison of neural networks and linear scoring models in the credit union environment. European Journal of Operational Research, 95(1), 24–37. http://doi.org/10.1016/0377-2217(95)00246-4
dc.relation/*ref*/Díaz, J. F. (2012). Comparación entré Árboles de Regresión CART y Regresión Lineal. Universidad Nacional de Colombia.
dc.relation/*ref*/Elliott, R. J.; Siu, T. K. & Fung, E. S. (2014). A Double HMM approach to Altman Z-scores and credit ratings. Expert Systems with Applications, 41(4 PART 2), 1553–1560. http://doi.org/10.1016/j.eswa.2013.08.052
dc.relation/*ref*/Espin-García, O. & Rodríguez-Caballero, C. V. (2013). Metodología para un scoring de clientes sin referencias crediticias. Cuadernos de Economía, 32(59), 139–164.
dc.relation/*ref*/Esteve, E. M. (2007). Un modelo de credit scoring basado en el conocimiento de la aplicación de Basilea II y su papel innovador en el sector bancario. Asociación Española de Dirección y Economía de la Empresa.
dc.relation/*ref*/Fernandez, H. & Pérez, F. O. (2005). El modelo logístico : una herramienta estadística para evaluar el riesgo de crédito. Revista Ingenierias Universidad de Medellín, 4, 55–75.
dc.relation/*ref*/Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7(2), 179–188. http://doi.org/10.1111/j.1469-1809.1936.tb02137.x
dc.relation/*ref*/García Sánchez, M. & Sánchez, C. (2005). Antecedentes: modelos para estimar el riesgo de crédito. Riesgo de crédito en México: aplicación del modelo CreditMetrics. Universidad de las Américas Puebla.
dc.relation/*ref*/Gartner, K. & Schiltz, E. (2005). What’s Your Score? Educating College Students About Credit Card Debt. Legal Studies Research Paper Series WHAT’S, 24(1), 401–432.
dc.relation/*ref*/Glennon, D.; Kiefer, N. M.; Larson, C. E. & Choi, H. (2008). Development and Validation of Credit Scoring Models. Journal of Credit Risk, Forthcoming, 1(1), 1–70. Retrieved from http://papers.ssrn.com/abstract=1180302
dc.relation/*ref*/Glorfeld, L. W. (1990). A Robust Methodology for Discriminant Analysis Based on Least-absolute-value Estimation. Managerial and Desicion Economics, 11(1), 267–277.
dc.relation/*ref*/Gonçalves, R. M. L. & Braga, M. J. (2008). Determinantes de risco de liquidez em cooperativas de crédito: uma abordagem a partir do modelo logit multinomial. Revista de Administração Contemporânea, 12(4), 1019–1041. http://doi.org/10.1590/S1415-65552008000400007
dc.relation/*ref*/Gujarati, D. (2004). Econometría (4ta Edició). McGraw-Hill Interamericana. Retrieved from https://books.google.es/books?id=8RttQgAACAAJ
dc.relation/*ref*/Gutiérrez, M. A. (2007). Modelos de Credit Scoring - Qué, Cómo, Cuándo y Para Qué.
dc.relation/*ref*/Hardy, W. E. & John, I. (1985). A Linear Programming Alternative to Discriminant Analysis in Credit Scoring. Agribussiness, I(4), 285–292.
dc.relation/*ref*/Kočenda, E. & Vojtek, M. (2009). Default Predictors and Credit Scoring Models for Retail Banking. CESIFO WORKING PAPER NO. 2862C. Retrieved from www.CESifo-group.org/wp
dc.relation/*ref*/Kukuk, M. & Rönnberg, M. (2013). Corporate credit default models: A mixed logit approach. Review of Quantitative Finance and Accounting, 40(3), 467–483. http://doi.org/10.1007/s11156-012-0281-4
dc.relation/*ref*/Lipovetsky, S. & Conklin, M. (2004). Decision Making By Variable Contribution in Discriminant, Logit, and Regression Analyses. International Journal of Information Technology & Decision Making, 3(2), 265–279. http://doi.org/10.1142/S0219622004001033
dc.relation/*ref*/Majer, I. (2006). Application scoring: logit model approach and the divergence method compared (06 No. 10). Warsaw.
dc.relation/*ref*/Martens, D.; Van Gestel, T.; De Backer, M.; Haesen, R.; Vanthienen, J. & Baesens, B. (2010). Credit rating prediction using Ant Colony Optimization. Journal of the Operational Research Society, 61(4), 561–573. http://doi.org/10.1057/jors.2008.164
dc.relation/*ref*/Melo, L. F. & Granados, J. C. (2011). Regulación y valor en riesgo. Ensayos Sobre Política Economica, 29(64), 110–177.
dc.relation/*ref*/Mileris, R. (2010). Estimation of loan applicants default probability applying discriminant analysis and simple Bayesian classifier. Economics and Management, 15(1), 1078–1084. Retrieved from http://www.ktu.lt/lt/mokslas/zurnalai/ekovad/15/1822-6515-2010-1078.pdf
dc.relation/*ref*/Moreno, J. F. & Melo, L. F. (2011). Pronóstico de incumplimientos de pago mediante máquinas de vectores de soporte: una aproximación inicial a la gestión del riesgo de crédito. Boletín de Prensa DANE, 677, 1–33.
dc.relation/*ref*/Moreno, S. (2013). El Modelo Logit Mixto para la construcción de un Scoring de Crédito. Universidad Nacional de Colombia.
dc.relation/*ref*/Mures, J.; García, A. & Vallejo, E. (2011). Aplicación del análisis discriminate y regresión logística en el estudio de la morosidad en las entidades financieras comparación de resultados. Revista de La Facultad de Ciencias Económicas Y Empresariales, 1, 175–199. Retrieved from http://search.proquest.com/docview/818448211?accountid=10344
dc.relation/*ref*/Olagunji, F. & Ajiboye, A. (2010). Agricultural lending decision: a tobit regression analysis. African Journal of Food Agriculture, Nutrition and Development, 10(5), 1–27. http://doi.org/10.4314/ajfand.v10i5.57897
dc.relation/*ref*/Palacio, A. P.; Lochmúller, C.; Murillo, J. G.; Pérez, M. A. & Vélez, C. A. (2011). Modelo cualitativo para la asignación de créditos de consumo y ordinario - el caso de una cooperativa de crédito. Revista Ingenierias Universidad de Medellín, 10(19), 89–100.
dc.relation/*ref*/Pérez, F. O. & Fernández, H. (2007). Las redes neuronales y la evaluación del riesgo de crédito. Revista Ingenierías, 6(10), 77–91.
dc.relation/*ref*/Puertas, R. & Marti, M. L. (2012). Análisis Del Credit Scoring. Revista Administración de Empresas, 53(3), 303–315.
dc.relation/*ref*/Rayo, S.; Lara, J. & Camino, D. (2010). Un modelo de credit scoring para instituciones de microfinanzas en el marco de Basile II. Journal of Economics, Finance & Administrative Science., 15(28), 89–124. Retrieved from http://eds.b.ebscohost.com/eds/detail?vid=2&sid=a4134bcc-0c4d-42d1-b74e-04f1be482687@sessionmgr112&hid=115&bdata=Jmxhbmc9ZXMmc2l0ZT1lZHMtbGl2ZQ==#db=bth&AN=51381543
dc.relation/*ref*/Rodriguez, D. & Trespalacios, A. (2015). Medición de valor en riesgo en cartera de clientes a través de modelos logísticos y simulación de Montecarlo.
dc.relation/*ref*/Roszbach, K. (2004). Bank Lending Policy, Credit Scoring, and the Survival of Loans. Review of Economics and Statistics, 86(4), 946–958. http://doi.org/10.1162/0034653043125248
dc.relation/*ref*/Saavedra-García, M. L. & Saavedra-García, M. J. (2010). Modelos para medir el riesgo de crédito de la banca *. Cuadernos de Administración, 23(40), 295–319. Retrieved from http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-35922010000100013&lang=pt
dc.relation/*ref*/Santos, J. O. & Famá, R. (2007). Avaliação da aplicabilidade de um modelo de credit scoring com varíaveis sistêmicas e não-sistêmicas em carteiras de crédito bancário rotativo de pessoas físicas. Revista Contabilidade & Finanças, 18, 105–117. http://doi.org/10.1590/S151970772007000200009
dc.relation/*ref*/Soydaner, D. & Kocadağlı, O. (2015). Artificial Neural Networks with Gradient Learning Algorithm for Credit Scoring. Journal of the School of Bussiness Administration, 44(2), 3–12.
dc.relation/*ref*/Sustersic, M.; Mramor, D. & Zupan, J. (2007). Consumer credit scoring models with limited data. Ljubljana Meetings Paper, 1(1),1–21. http://doi.org/10.1016/j.eswa.2008.06.016
dc.relation/*ref*/Támara, A. L.; Aristizábal, R. E. & Velásquez, H. (2010). estimación de las provisiones esperadas en una institución financiera utilizando modelos Logit. Revista Ciencias Estratégicas, 18(24), 259–270.
dc.relation/*ref*/Tan, A. K. G.; Yen, S. T. & Loke, Y. J. (2011). Credit card holders, convenience users and revolvers: A tobit model with binary selection and ordinal treatment. Journal of Applied Economics, 14(2), 225–255. http://doi.org/10.1016/S1514-0326(11)60013-5
dc.relation/*ref*/Thomas, L.; Edelman, D. & Crook, J. (2002). Credit scoring and its applications.
dc.relation/*ref*/Tsai, C. F. (2008). Financial decision support using neural networks and support vector machines. Expert Systems, 25(4), 380–393. http://doi.org/10.1111/j.1468-0394.2008.00449.x
dc.relation/*ref*/Webster, G. (2011). Bayesian Logistic Regression Models for Credit Scoring. Rhodes University.
dc.relation/*ref*/West, D. (2000). Neural network credit scoring models. Computers and Operations Research, 27(11–12), 1131–1152. http://doi.org/10.1016/S0305-0548(99)00149-5
dc.relation/*ref*/Zhang, D.; Zhou, X.; Leung, S. C. H. & Zheng, J. (2010). Vertical bagging decision trees model for credit scoring. Expert Systems with Applications, 37(12), 7838–7843. http://doi.org/10.1016/j.eswa.2010.04.054
dc.relation/*ref*/Zhou, L.; Lai, K. K. & Yen, J. (2009). Credit Scoring Models With Auc Maximization Based on Weighted Svm. International Journal of Information Technology & Decision Making, 8(4), 677–696. http://doi.org/10.1142/S0219622009003582
dc.rightshttps://creativecommons.org/licenses/by/3.0/deed.es_ESes-ES
dc.sourceRevista CEA; Vol. 3 No. 5 (2017); 13-28en-US
dc.sourceRevista CEA; Vol. 3 Núm. 5 (2017); 13-28es-ES
dc.source2422-3182
dc.source2390-0725
dc.subjectdiscriminant analysisen-US
dc.subjectcredit scoreen-US
dc.subjectparametric modelsen-US
dc.subjectnon-parametric modelsen-US
dc.subjectsemiparametric modelsen-US
dc.subjectanálisis discriminantees-ES
dc.subjectcredit scorees-ES
dc.subjectmodelos paramétricoses-ES
dc.subjectmodelos no paramétricoses-ES
dc.subjectmodelos semi-paramétricoses-ES
dc.titleModels and methodologies for credit scoring in personal banking: A literature reviewen-US
dc.titleModelos y metodologías de credit score para personas naturales: una revisión literariaes-ES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeArticlesen-US
dc.typeArtículoses-ES


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