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Determinants of Bank Efficiency: the case of Brazil

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  • Patricia Tecles
  • Benjamin M. Tabak

Abstract

This paper analyzes the efficiency of the Brazilian banking sector over the post-privatization period of 2000-2007. We employ a Bayesian stochastic frontier approach, which provides exact efficiency estimates and confidence intervals and thus, allows an accurate comparison across institutions and bank groups. The results suggest that large banks are the most cost and profit efficient, supporting the concentration process observed in recent years. Foreign banks have achieved a good performance through either the establishment of new affiliates and the acquisition of local banks. The remaining public banks have had improvements in cost efficiency, but are relatively profit inefficient. Finally, we observe a positive impact of capitalization on efficiency.

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Bibliographic Info

Paper provided by Central Bank of Brazil, Research Department in its series Working Papers Series with number 210.

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Date of creation: May 2010
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Handle: RePEc:bcb:wpaper:210

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Web page: http://www.bcb.gov.br/?english

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References

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Citations

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Cited by:
  1. Tabak, Benjamin M. & Fazio, Dimas M. & Cajueiro, Daniel O., 2011. "The effects of loan portfolio concentration on Brazilian banks' return and risk," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 3065-3076, November.
  2. Benjamin M. Tabak & Rogério B. Miranda & Dimas M. Fazio, 2012. "A Geographically Weighted Approach in Measuring Efficiency in Panel Data: the Case of US Saving Banks," Working Papers Series 275, Central Bank of Brazil, Research Department.
  3. Benjamin M. Tabak & Dimas M. Fazio & Daniel O. Cajueiro, 2011. "Profit, Cost and Scale Efficiency for Latin American Banks: Concentration-Performance Relationship," Working Papers Series 244, Central Bank of Brazil, Research Department.
  4. Benjamin Miranda Tabak & Guilherme Maia Rodrigues Gomes & Maurício da Silva Medeiros Júnior, 2012. "The Impact of Market Power at Bank Level in Risk-taking: the Brazilian case," Working Papers Series 283, Central Bank of Brazil, Research Department.

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