Productive, Geographic and Debtor Diversification and Its Effect on the Quality of the Credit Portfolio in Argentina
AbstractThis paper analyzes the relationship between the quality of the commercial credit portfolio and diversification in the financial entities of Argentina during the period 1998-2006. To this effect, a database of the financial sector (banking and non-banking) is used, which allows to consider three potential dimensions of diversification: per productive sector, per province and per client. In addition to characterizing the financial entities’ diversification decisions during the period under analysis, which includes the severe economic and financial crisis of late 2001, the paper analyzes the determinants of the portfolio’s quality including the effect of diversification in the three dimensions stated above. The results indicate that, by controlling for the relevant variables, specialization improves the quality of the credit portfolio.
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Bibliographic InfoPaper provided by Central Bank of Argentina, Economic Research Department in its series BCRA Working Paper Series with number 200836.
Length: 38 pages
Date of creation: Aug 2008
Date of revision:
Argentina; banks; credit diversification; loan quality; non-performing loans;
Find related papers by JEL classification:
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
- G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
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- James, Christopher, 1987. "Some evidence on the uniqueness of bank loans," Journal of Financial Economics, Elsevier, vol. 19(2), pages 217-235, December.
- Petersen, Mitchell A & Rajan, Raghuram G, 1994. " The Benefits of Lending Relationships: Evidence from Small Business Data," Journal of Finance, American Finance Association, vol. 49(1), pages 3-37, March.
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