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The External Finance Premium in Brazil: empirical analyses using state space models

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  • Fernando Nascimento de Oliveira
Abstract
Our objective in this paper is to estimate the external finance premium (EFP), which is a non observable variable, of firms in Brazil using state space models. For this purpose, we built an original database with confidential and public data containing balance sheet information of 5,026 public and private firms from the third quarter of 1994 to the fourth quarter of 2010. Our results show that the average and volatility of the EFP of small firms is higher than those of large firms and that the EFP is more sensitive to monetary policy for small firms than for large firms. We also find that the sensitivity in relation to EFP of inventories, short term debt and net operational revenues, all in proportion of total assets is higher for small firms than for large firms. These empirical evidences point to the importance of the balance sheet channel of the transmission mechanism of monetary policy in Brazil.

Suggested Citation

  • Fernando Nascimento de Oliveira, 2012. "The External Finance Premium in Brazil: empirical analyses using state space models," Working Papers Series 295, Central Bank of Brazil, Research Department.
  • Handle: RePEc:bcb:wpaper:295
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    Cited by:

    1. Fernando N. de Oliveira, 2014. "Investment of Firms in Brazil: do financial restrictions, unexpected monetary shocks and BNDES play important roles?," Working Papers Series 366, Central Bank of Brazil, Research Department.
    2. Bruno Martins, 2012. "Local Market Structure and Bank Competition: evidence from the Brazilian auto loan market," Working Papers Series 299, Central Bank of Brazil, Research Department.
    3. Marco Bonomo & Ricardo Brito & Bruno Martins, 2015. "Macroeconomic and Financial Consequences of the Post-Crisis Government-Driven Credit Expansion in Brazil," IDB Publications (Working Papers) 88337, Inter-American Development Bank.
    4. Machado, Vicente da Gama & Portugal, Marcelo Savino, 2014. "Measuring inflation persistence in Brazil using a multivariate model," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 68(2), June.
    5. 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.
    6. Marco Bonomo & Ricardo Brito & Bruno Martins, 2014. "Macroeconomic and Financial Consequences of the After Crisis Government-Driven Credit Expansion in Brazil," Working Papers Series 378, Central Bank of Brazil, Research Department.

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