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Stress Testing Liquidity Risk: The Case of the Brazilian Banking System

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  • Benjamin M. Tabak
  • Solange M. Guerra
  • Rodrigo C. Miranda
  • Sergio Rubens S. de Souza

Abstract

This paper discusses the effects of the recent financial crisis on the Brazilian banking system. It discusses how liquidity risks have risen during the crisis and preventive measures that were taken in order to cope with these risks. It presents the liquidity stress testing approach that is under use in the Central Bank of Brazil and results from a survey on liquidity stress testing that has been applied to banks that operate in the Brazilian banking system.

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File URL: http://www.bcb.gov.br/pec/wps/port/wps302.pdf
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Bibliographic Info

Paper provided by Central Bank of Brazil, Research Department in its series Working Papers Series with number 302.

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Date of creation: Dec 2012
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Handle: RePEc:bcb:wpaper:302

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

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  1. Fry, Renée & Martin, Vance L. & Tang, Chrismin, 2010. "A New Class of Tests of Contagion With Applications," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(3), pages 423-437.
  2. Renee Fry & Vance L. Martin & Chrismin Tang, 2008. "A New Class Of Tests Of Contagion With Applications To Real Estate Markets," CAMA Working Papers 2008-01, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  3. David Aikman & Piergiorgio Alessandri & Bruno Eklund & Prasanna Gai & Sujit Kapadia, & Elizabeth Martin, & Nada Mora & Gabriel Sterne & Matthew Willison, 2011. "Funding Liquidity Risk in a Quantitative Model of Systemic Stability," Central Banking, Analysis, and Economic Policies Book Series, in: Rodrigo Alfaro (ed.), Financial Stability, Monetary Policy, and Central Banking, edition 1, volume 15, chapter 12, pages 371-410 Central Bank of Chile.
  4. Kristin J. Forbes & Roberto Rigobon, 2002. "No Contagion, Only Interdependence: Measuring Stock Market Comovements," Journal of Finance, American Finance Association, vol. 57(5), pages 2223-2261, October.
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Cited by:
  1. Papadimitriou, Theophilos & Gogas, Periklis & Tabak, Benjamin M., 2013. "Complex networks and banking systems supervision," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(19), pages 4429-4434.
  2. Vicente da Gama Machado & Marcelo Savino Portugal, 2013. "Measuring Inflation Persistence in Brazil Using a Multivariate Model," Working Papers Series 331, Central Bank of Brazil, Research Department.

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