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Construcción de un modelo de scoring para el otorgamiento de crédito en una entidad financiera

Author

Listed:
  • Ochoa P., Juan Camilo
  • Galeano M., Wilinton
  • Agudelo V., Luis Gabriel

Abstract

Resumen: La Superintendencia Financiera de Colombia (SFC) mediante la CartaCircular 31 y la Circular Externa 11 de 2002, exige que todas las instituciones financieras deben implementar un Sistema de Administración del Riesgo Creditico (SARC); teniendo en cuenta la volatilidad de las variables financieras gracias a la globalización de los mercados financierosmundiales y la importancia de un sistema financiero fuerte. En este marco regulatorio, el presente trabajo implementa una metodología de análisis discriminante para la construcción de un modelo de Scoring de otorgamiento de crédito; mediante el análisis estadístico de variables cualitativas y cuantitativas dentro de una base de datos facilitadas por una cooperativa financiera del Valle de Aburrá con esto se pretende definir perfiles de prestatarios propensos al incumplimiento de sus obligaciones, y perfiles de prestatarios de buen comportamiento.

Suggested Citation

  • Ochoa P., Juan Camilo & Galeano M., Wilinton & Agudelo V., Luis Gabriel, 2010. "Construcción de un modelo de scoring para el otorgamiento de crédito en una entidad financiera," Perfil de Coyuntura Económica, Universidad de Antioquia, CIE, November.
    • Handle: RePEc:col:000165:008969
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    Citations

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    Cited by:

    1. Pérez-Martín, A. & Pérez-Torregrosa, A. & Vaca, M., 2018. "Big Data techniques to measure credit banking risk in home equity loans," Journal of Business Research, Elsevier, vol. 89(C), pages 448-454.
    2. Gustavo León Cuanalo & Ariadna Hernández Rivera & Gonzalo Haro Álvarez, 2022. "Inclusión financiera en jóvenes universitarios en México, 2017-2018," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 17(1), pages 1-18, Enero - M.
    3. Rodríguez Guevara, David Esteban & Rendón García, Juan Fernando & Trespalacios Carrasquilla, Alfredo & Jiménez Echeverri, Edwin Andrés, 2022. "Modelación de riesgo de crédito de personas naturales. Un caso aplicado a una caja de compensación familiar colombiana [Natural People Credit Risk Modeling. An applied case in a Colombian Family Be," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 33(1), pages 29-48, June.
    4. Agustin Pérez-Martín & Agustin Pérez-Torregrosa & Alejandro Rabasa & Marta Vaca, 2020. "Feature Selection to Optimize Credit Banking Risk Evaluation Decisions for the Example of Home Equity Loans," Mathematics, MDPI, vol. 8(11), pages 1-16, November.
    5. Raffaele Manini & Oriol Amat, 2018. "Credit scoring for the supermarket and retailing industry: analysis and application proposal," Economics Working Papers 1614, Department of Economics and Business, Universitat Pompeu Fabra.
    6. Dairo Ayiber Estrada & Ana María Yaruro-Jaime & Felipe Clavijo-Ramírez & Laura Marcela Capera Romero & Jairo Gómez, 2023. "The Development of Microcredit in Colombia," Books, Banco de la Republica de Colombia, number 2023-isbn:9786289511222 edited by Asomicrofinanzas & Banco de la República, July.

    More about this item

    Keywords

    Modelo Scoring; análisis discriminante; riesgo de crédito; otorgamiento de crédito; sistema financiero;
    All these keywords.

    JEL classification:

    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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