Credit Scoring Models with Truncated Samples and Their Validation
Veronica Balzarotti (),
Matias Gutierrez Girault () and
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Verónica Vallés: Central Bank of Argentina
No 200604, BCRA Working Paper Series from Central Bank of Argentina, Economic Research Department
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.
Keywords: Argentina; banks; credit scoring; credit risk; credit registers; truncated samples (search for similar items in EconPapers)
JEL-codes: C35 D81 G21 G28 (search for similar items in EconPapers)
Pages: 30 pages
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http://www.bcra.gov.ar/pdfs/investigaciones/WP%202006%2004_i.pdf English version (application/pdf)
http://www.bcra.gov.ar/pdfs/investigaciones/WP%202006%2004.pdf versión en Español (application/pdf)
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Persistent link: https://EconPapers.repec.org/RePEc:bcr:wpaper:200604
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