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Credit and Business Cycles: An Empirical Analysis in the Frequency Domain

Author

Listed:
  • Juan Sebastián Amador

    ()

  • Celina Gaitán-Maldonado

    ()

  • José Eduardo Gómez-González

    ()

  • Mauricio Villamizar-Villegas

    ()

  • Héctor Manuel Zárate

    ()

Abstract

The history of economic recessions has shown that every deep downturn has been accompanied by disruptions in the financial sector. Paradoxically, up until the financial world crisis of 2007-2009, little attention was given to macroeconomic and financial interdependence. And, in spite of a renewed interest on the matter, significant effort is still warranted in order to attain a comprehensive understanding of the causal links between the financial sector and the rest of the economy. In this paper we study the relationship between financial and real business cycles for a sample of thirty-three countries in the frequency domain. Specifically, we characterize the interdependence of credit and output cycles and conduct Granger-type causality tests in the frequency domain. We also perform cluster analysis to analyze groups of countries with similar cyclical dynamics. Our main findings indicate that: (i) on average, credit cycles are larger and longer-lasting than output cycles, (ii) the likelihood of cycle interdependence is highest when considering medium-term frequencies (we find that that Granger causality runs in both directions), and (iii) emerging markets tend to have cycles of shorter duration but are more profound than those exhibited in developed economies.

Suggested Citation

  • Juan Sebastián Amador & Celina Gaitán-Maldonado & José Eduardo Gómez-González & Mauricio Villamizar-Villegas & Héctor Manuel Zárate, 2014. "Credit and Business Cycles: An Empirical Analysis in the Frequency Domain," Borradores de Economia 843, Banco de la Republica de Colombia.
  • Handle: RePEc:bdr:borrec:843
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    References listed on IDEAS

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    1. Carlstrom, Charles T & Fuerst, Timothy S, 1997. "Agency Costs, Net Worth, and Business Fluctuations: A Computable General Equilibrium Analysis," American Economic Review, American Economic Association, vol. 87(5), pages 893-910, December.
    2. Bernanke, Ben S. & Gertler, Mark & Gilchrist, Simon, 1999. "The financial accelerator in a quantitative business cycle framework," Handbook of Macroeconomics,in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 21, pages 1341-1393 Elsevier.
    3. Vasco Curdia & Michael Woodford, 2010. "Credit Spreads and Monetary Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(s1), pages 3-35, September.
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    10. David Aikman & Andrew G. Haldane & Benjamin D. Nelson, 2015. "Curbing the Credit Cycle," Economic Journal, Royal Economic Society, vol. 125(585), pages 1072-1109, June.
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    Cited by:

    1. Matteo Farn'e & Angela Montanari, 2018. "A bootstrap test to detect prominent Granger-causalities across frequencies," Papers 1803.00374, arXiv.org, revised Oct 2018.
    2. Juan Guillermo Bedoya Ospina, 2017. "Ciclos de crédito, liquidez global y regímenes monetarios: una aproximación para América Latina," Revista Desarrollo y Sociedad, Universidad de los Andes - CEDE, vol. 78, February.

    More about this item

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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