IDEAS home Printed from https://ideas.repec.org/a/eme/jespps/v41y2014i6p881-906.html
   My bibliography  Save this article

Monetary policy, prudential regulation and investment: Evidence from Brazil considering the bank lending channel

Author

Listed:
  • Gabriel Caldas Montes
  • Gabriel Gonçalves do Vale Monteiro

Abstract

Purpose - – The purpose of this paper is to analyze the influence of prudential regulation and monetary policies on the supply of credit as well as the influence of such policies on the aggregate investment through the credit channel in Brazil. Design/methodology/approach - – The empirical analysis is based on estimates through ordinary least squares (OLS), generalized method of moments (GMM), system of equations through GMM (system-GMM), and impulse response functions through vector autoregressive (VAR). Findings - – The results suggest that monetary policies and prudential regulation affect aggregate investment through the bank lending channel. With regards to elasticities, the findings indicate that the credit is very sensitive to variations in economic activity and, in turn, prudential regulation presents a stronger influence on credit than the basic interest rate and the reserve requirement rate. Moreover, the estimates suggest that aggregate investment is more sensitive to entrepreneurs’ expectations and credit supply. Practical implications - – Aiming to reduce systemic risk in the economy, capital requirements may be increased in order to induce banks to a lower risk exposure by reducing the supply of loans. However, while this instrument strengthens the banking system, it can also lead the banking system to become less sensitive to monetary policy shocks, and also discourage aggregate demand through the influence that the credit exerts on investments. As a consequence, prudential regulation is an important tool because it acts on the balance between economic growth and low risk exposure of banks. Originality/value - – The paper provides useful insights to academicians, economists and policymakers who are interested in understanding the effects of monetary policies and prudential regulation on aggregate investment through the credit channel in an emerging economy under inflation targeting. Moreover, the paper develops a theoretical model in order to show the influence of different monetary policies, as well as the influence of prudential regulation on the supply of credit.

Suggested Citation

  • Gabriel Caldas Montes & Gabriel Gonçalves do Vale Monteiro, 2014. "Monetary policy, prudential regulation and investment: Evidence from Brazil considering the bank lending channel," Journal of Economic Studies, Emerald Group Publishing, vol. 41(6), pages 881-906, November.
  • Handle: RePEc:eme:jespps:v:41:y:2014:i:6:p:881-906
    as

    Download full text from publisher

    File URL: http://www.emeraldinsight.com/10.1108/JES-12-2012-0173?utm_campaign=RePEc&WT.mc_id=RePEc
    Download Restriction: Access to full text is restricted to subscribers

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 33(1), pages 125-132.
    2. Cândida Ferreira, 2009. "The Credit Channel Transmission of Monetary Policy in the European Union," Working Papers Department of Economics 2009/08, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    3. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    4. MacKinnon, James G & Haug, Alfred A & Michelis, Leo, 1999. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 563-577, Sept.-Oct.
    5. de Mello, Luiz & Pisu, Mauro, 2010. "The bank lending channel of monetary transmission in Brazil: A VECM approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(1), pages 50-60, February.
    6. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    7. A. R. Pagan & Douglas Laxton & Luis Catão, 2008. "Monetary Transmission in an Emerging Targeter; The Case of Brazil," IMF Working Papers 08/191, International Monetary Fund.
    8. Craig Furfine, 2001. "Bank Portfolio Allocation: The Impact of Capital Requirements, Regulatory Monitoring, and Economic Conditions," Journal of Financial Services Research, Springer;Western Finance Association, vol. 20(1), pages 33-56, September.
    9. Gambacorta, Leonardo & Mistrulli, Paolo Emilio, 2004. "Does bank capital affect lending behavior?," Journal of Financial Intermediation, Elsevier, vol. 13(4), pages 436-457, October.
    10. André Minella & Nelson F. Souza-Sobrinho, 2009. "Monetary Channels in Brazil through the Lens of a Semi-Structural Model," Working Papers Series 181, Central Bank of Brazil, Research Department.
    11. Joel Bogdanski & Alexandre Antonio Tombini & Sergio R. Da C. Werlang, 2001. "Implementing Inflation Targeting in Brazil," Money Affairs, Centro de Estudios Monetarios Latinoamericanos, CEMLA, vol. 0(1), pages 1-23, January-J.
    12. Joao Manoel Pinho de Mello & Marcio Garcia & Christiano Arrigoni, 2010. "Identifying the Bank Lending Channel in Brazil through Data Frequency," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 47-79, January.
    13. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    14. Concetta Chiuri, Maria & Ferri, Giovanni & Majnoni, Giovanni, 2002. "The macroeconomic impact of bank capital requirements in emerging economies: Past evidence to assess the future," Journal of Banking & Finance, Elsevier, vol. 26(5), pages 881-904, May.
    15. Peek, Joe & Rosengren, Eric, 1995. "The Capital Crunch: Neither a Borrower nor a Lender Be," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 27(3), pages 625-638, August.
    16. Montes, Gabriel Caldas, 2013. "Credibility and monetary transmission channels under inflation targeting: An econometric analysis from a developing country," Economic Modelling, Elsevier, vol. 30(C), pages 670-684.
    17. Bernanke, Ben S & Blinder, Alan S, 1988. "Credit, Money, and Aggregate Demand," American Economic Review, American Economic Association, vol. 78(2), pages 435-439, May.
    18. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    19. Gabriel Caldas Montes & Caroline Cabral Machado, 2013. "Credibility and the credit channel transmission of monetary policy theoretical model and econometric analysis for Brazil," Journal of Economic Studies, Emerald Group Publishing, vol. 40(4), pages 469-492, August.
    20. Montes, Gabriel Caldas & Tiberto, Bruno Pires, 2012. "Macroeconomic environment, country risk and stock market performance: Evidence for Brazil," Economic Modelling, Elsevier, vol. 29(5), pages 1666-1678.
    21. Auel, Matias Carlos & de Mendonça, Helder Ferreira, 2011. "Macroeconomic relevance of credit channels: Evidence from an emerging economy under inflation targeting," Economic Modelling, Elsevier, vol. 28(3), pages 965-979, May.
    22. Gabriel Caldas Montes & Caroline Cabral Machado, 2013. "Credibility and the credit channel transmission of monetary policy theoretical model and econometric analysis for Brazil," Journal of Economic Studies, Emerald Group Publishing, vol. 40(4), pages 469-492, August.
    23. Cragg, John G, 1983. "More Efficient Estimation in the Presence of Heteroscedasticity of Unknown Form," Econometrica, Econometric Society, vol. 51(3), pages 751-763, May.
    24. Ribeiro, Marcio Bruno & Teixeira, Joanílio Rodolpho, 2001. "An econometric analysis of private-sector investment in Brazil," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    25. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    Full references (including those not matched with items on IDEAS)

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eme:jespps:v:41:y:2014:i:6:p:881-906. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Virginia Chapman). General contact details of provider: http://www.emeraldinsight.com .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.