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Nuevas Herramientas para la Administración del Riesgo Crediticio: El caso de una Cartera Crediticia Ecuatoriana
[New Management Tool for Credit Risk analysis: An aplication for Financial Institution in Ecuador]

Author

Listed:
  • Maldonado, Diego
  • Pazmiño, Mariela

Abstract

In the present document it is exposed in an abstract way the models of credit portfolioes CreditMetricsTM, KMV, CreditRisk+, Credit Portfolio View in such a way that they could be calibrated and implemented in financial institutions where the quality and quantity of credit information is scanty, giving place to which they have capable tools for monitoring the risk and the concentration in a credit portfolio, and to generate credit policies to mitigate the risk assumed in the portfolio by means of the provisions, the economic capital and limits to the amounts of the credits. For which the models apply themselves copulas to quantify the existing dependence between the unfulfilled credits and to determine this way the distribution of loss of a portfolio from the models of latent variables, mixture and credit concentration.

Suggested Citation

  • Maldonado, Diego & Pazmiño, Mariela, 2008. "Nuevas Herramientas para la Administración del Riesgo Crediticio: El caso de una Cartera Crediticia Ecuatoriana [New Management Tool for Credit Risk analysis: An aplication for Financial Institutio," MPRA Paper 17163, University Library of Munich, Germany, revised 30 Dec 2008.
    • Handle: RePEc:pra:mprapa:17163
    as

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    File URL: https://mpra.ub.uni-muenchen.de/17163/1/MPRA_paper_17163.pdf
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    References listed on IDEAS

    as
    1. Alexander Zapata Galindo, 2004. "MODELANDO EL RIESGO DE CRÉDITO: Matrices de transición para la cartera comercial," Apuntes de Banca y Finanzas 3226, Asobancaria.
    2. Gordy, Michael B., 2000. "A comparative anatomy of credit risk models," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 119-149, January.
    3. Frey, Rudiger & McNeil, Alexander J., 2002. "VaR and expected shortfall in portfolios of dependent credit risks: Conceptual and practical insights," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1317-1334, July.
    4. Annalisa Di Clemente & Claudio Romano, 2004. "Measuring and Optimizing Portfolio Credit Risk: A Copula-based Approach," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 33(3), pages 325-357, November.
    5. Crouhy, Michel & Galai, Dan & Mark, Robert, 2000. "A comparative analysis of current credit risk models," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 59-117, January.
    6. Rockafellar, R. Tyrrell & Uryasev, Stanislav, 2002. "Conditional value-at-risk for general loss distributions," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1443-1471, July.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Freire González, Paulo Alejandro & Vivar Aguilar, Mayra Isabel & Maldonado, Diego, 2010. "Un nuevo enfoque para el análisis y calificación del Sistema Cooperativo Ecuatoriano [A new approach to the analysis and rating Ecuadorian Cooperative System]," MPRA Paper 21463, University Library of Munich, Germany, revised 05 Mar 2010.
    2. Rodríguez-García, Jair Hissarly & Venegas-Martínez, Francisco, 2021. "Reducción de la brecha del crédito en México en un ambiente de incertidumbre generada por la pandemia COVID-19: Un enfoque de ciencia de datos (machine learning) [Reducing the credit gap in Mexico ," MPRA Paper 105133, University Library of Munich, Germany.

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    More about this item

    Keywords

    Credit Risk; Credit Portfolio Models; Multivariate binary copula; Credit Concetration; mixture models; latent variable models;
    All these keywords.

    JEL classification:

    • C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Econometric and Statistical Methods; Specific Distributions
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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