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Credit Scoring Models with Truncated Samples and Their Validation

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Author Info

  • Verónica Balzarotti

    ()
    (Central Bank of Argentina)

  • Matías Gutiérrez Girault

    (Central Bank of Argentina)

  • Verónica Vallés

    (Central Bank of Argentina)

Abstract

The main object of this paper is to develop a credit scoring methodology for Argentine bank commercial obligors based on information available in the Public Credit Registry of the Central Bank of Argentina (Central de Deudores) as a reference tool to assess credit risk in local banks. Previous experience in this field has shown promising results; in this paper, we focus on two innovative aspects: firstly, the potential bias introduced by the fact that a considerable number of obligors are removed from the database for no traceable reason, and secondly, the application of validation techniques to the resulting models as proposed by the document recently published by the BCBS.

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File URL: http://www.bcra.gov.ar/pdfs/investigaciones/WP%202006%2004_i.pdf
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File URL: http://www.bcra.gov.ar/pdfs/investigaciones/WP%202006%2004.pdf
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Bibliographic Info

Paper provided by Central Bank of Argentina, Economic Research Department in its series BCRA Working Paper Series with number 200604.

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Length: 30 pages
Date of creation: May 2006
Date of revision:
Handle: RePEc:bcr:wpaper:200604

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Related research

Keywords: Argentina; banks; credit scoring; credit risk; credit registers; truncated samples;

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References

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  1. Ricardo Schechtman & Valéria Salomão Garcia & Sergio Mikio Koyama & Guilherme Cronemberger Parente, 2004. "Credit Risk Measurement and the Regulation of Bank Capital and Provision Requirements in Brazil - A Corporate Analysis," Working Papers Series 91, Central Bank of Brazil, Research Department.
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Cited by:
  1. Ricardo N. Bebczuk, 2007. "Loans Size and Portfolio Loss Predictability in Argentina," Ensayos Económicos, Central Bank of Argentina, Economic Research Department, vol. 1(49), pages 139-155, October -.

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