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Un análisis de riesgo de crédito de las empresas del sector real y sus determinantes

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  • Javier Gutiérrez Rueda

    ()

Abstract

En la literatura se considera al riesgo de crédito como una de las principales fuentes de vulnerabilidad para el sistema financiero, por lo que su correcta medición resulta de vital importancia tanto para el sistema como para los agentes que hacen parte del mercado de crédito. Este documento tiene como objetivo identificar los determinantes del riesgo de crédito a través del estudio de la probabilidad de que una empresa incumpla con el pago de sus créditos. El análisis se realiza para el periodo comprendido entre 1998 y 2007. Siguiendo los hallazgos de la literatura relacionada con este tema, se emplea un modelo Probit Heteroscedástico con efectos no lineales, el cual muestra que la rentabilidad, la liquidez y el endeudamiento son los principales determinantes de este incumplimiento. Adicionalmente, se utiliza un modelo de regresión por cuantiles para identificar los efectos de los factores macroeconómicos sobre dicha probabilidad. Los resultados de este análisis indican que el impacto de estos factores varían a lo largo de la distribución de default y que estos tienen un mayor efecto sobre los deudores más riesgosos. Estos ejercicios se complementan con un análisis de sensibilidad, el cual evidencia la vulnerabilidad de los intermediarios de crédito ante cambios en el ritmo de crecimiento del la economía.

Suggested Citation

  • Javier Gutiérrez Rueda, 2010. "Un análisis de riesgo de crédito de las empresas del sector real y sus determinantes," Temas de Estabilidad Financiera 046, Banco de la Republica de Colombia.
    • Handle: RePEc:bdr:temest:046
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    References listed on IDEAS

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    1. Glenn Hoggarth & Steffen Sorensen & Lea Zicchino, 2005. "Stress tests of UK banks using a VAR approach," Bank of England working papers 282, Bank of England.
    2. M. Tudela & G. Young, 2005. "A Merton-Model Approach To Assessing The Default Risk Of Uk Public Companies," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 8(06), pages 737-761.
    3. Bonfim, Diana, 2009. "Credit risk drivers: Evaluating the contribution of firm level information and of macroeconomic dynamics," Journal of Banking & Finance, Elsevier, vol. 33(2), pages 281-299, February.
    4. Cornelißen, Thomas, 2005. "Standard errors of marginal effects in the heteroskedastic probit model," Hannover Economic Papers (HEP) dp-320, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    5. Andrew Benito & Francisco Javier Delgado & Jorge Martínez Pagés, 2004. "A synthetic indicator of financial pressure for spanish firms," Working Papers 0411, Banco de España;Working Papers Homepage.
    6. Jimenez, Gabriel & Saurina, Jesus, 2004. "Collateral, type of lender and relationship banking as determinants of credit risk," Journal of Banking & Finance, Elsevier, vol. 28(9), pages 2191-2212, September.
    7. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, April.
    8. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    9. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    10. Nancy Eugenia Zamudio Gómez, 2007. "Determinantes de la Probabilidad de Incumplimiento de las Empresas Colombianas," Borradores de Economia 466, Banco de la Republica de Colombia.
    11. repec:bla:joares:v:18:y:1980:i:1:p:109-131 is not listed on IDEAS
    12. Oscar Martínez, 2003. "Determinantes De Fragilidad En Las Empresas Colombianas," BORRADORES DE ECONOMIA 002300, BANCO DE LA REPÚBLICA.
    13. Philip Bunn & Victoria Redwood, 2003. "Company accounts based modelling of business failures and the implications for financial stability," Bank of England working papers 210, Bank of England.
    14. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
    15. Arnab Bhattacharjee & Chris Higson & Sean Holly & Paul Kattuman, 2007. "Macroeconomic Conditions and Business Exit: Determinants of Failures and Acquisitions of UK Firms," CDMA Working Paper Series 200713, Centre for Dynamic Macroeconomic Analysis.
    16. Stiglitz, Joseph E & Weiss, Andrew, 1981. "Credit Rationing in Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 71(3), pages 393-410, June.
    17. John Freebairn & Bill Griffiths, 2006. "Introduction," The Economic Record, The Economic Society of Australia, vol. 82(s1), pages 1-1, September.
    18. Pagan, Adrian & Vella, Frank, 1989. "Diagnostic Tests for Models Based on Individual Data: A Survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 4(S), pages 29-59, Supplemen.
    19. Javier Gutiérrez Rueda & Diego M. Vásquez E., 2008. "Un Análisis de Cointegración para el Riesgo de Crédito," Temas de Estabilidad Financiera 035, Banco de la Republica de Colombia.
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    More about this item

    Keywords

    Riesgo de crédito; probabilidad de default; Probit Heteroscedástico; regresión por cuantiles; análisis de sensibilidad. Classification JEL: C21; C25; G33.;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation

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