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Credit and business cycles: Causal effects in the frequency domain

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Listed:
  • Jose Eduardo Gomez-Gonzalez
  • Mauricio Villamizar-Villegas
  • Hector Manuel Zarate
  • Juan Sebastian Amador
  • Celina Gaitan-Maldonado

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. In this paper, a study is conducted on the relationship between financial and real business cycles for a sample of thirty-three countries in the frequency domain. Specifically, the features of the interdependence of credit and output cycles are analysed and Granger-type causality tests are carried out in the frequency domain. The main findings of the study indicate that the likelihood of cycle interdependence is highest when considering medium and long-term frequencies, and that Granger causality runs in both directions.

Suggested Citation

  • Jose Eduardo Gomez-Gonzalez & Mauricio Villamizar-Villegas & Hector Manuel Zarate & Juan Sebastian Amador & Celina Gaitan-Maldonado, 2015. "Credit and business cycles: Causal effects in the frequency domain," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 33(78), pages 176-189, December.
    • Handle: RePEc:col:000107:014121
    DOI: 10.1016/j.espe.2015.05.002
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    1. 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.
    2. Vasco Cúrdia & Michael Woodford, 2010. "Credit Spreads and Monetary Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(s1), pages 3-35, September.
    3. Lawrence J. Christiano & Terry J. Fitzgerald, 2003. "The Band Pass Filter," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(2), pages 435-465, May.
    4. Juan Amador & José Gómez-González & Andrés Pabón, 2013. "Loan growth and bank risk: new evidence," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 27(4), pages 365-379, December.
    5. Claudio Borio, 2011. "Rediscovering the Macroeconomic Roots of Financial Stability Policy: Journey, Challenges, and a Way Forward," Annual Review of Financial Economics, Annual Reviews, vol. 3(1), pages 87-117, December.
    6. Mathias Drehmann & Claudio Borio & Kostas Tsatsaronis, 2012. "Characterising the financial cycle: don't lose sight of the medium term!," BIS Working Papers 380, Bank for International Settlements.
    7. Claessens, Stijn & Kose, M. Ayhan & Terrones, Marco E., 2012. "How do business and financial cycles interact?," Journal of International Economics, Elsevier, vol. 87(1), pages 178-190.
    8. Claudio Borio & Mathias Drehmann, 2009. "Assessing the risk of banking crises - revisited," BIS Quarterly Review, Bank for International Settlements, March.
    9. Roberto Motto & Massimo Rostagno & Lawrence J. Christiano, 2010. "Financial Factors in Economic Fluctuations," 2010 Meeting Papers 141, Society for Economic Dynamics.
    10. Bernanke, Ben & Gertler, Mark, 1989. "Agency Costs, Net Worth, and Business Fluctuations," American Economic Review, American Economic Association, vol. 79(1), pages 14-31, March.
    11. 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.
    12. 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.
    13. Alessi, Lucia & Detken, Carsten, 2011. "Quasi real time early warning indicators for costly asset price boom/bust cycles: A role for global liquidity," European Journal of Political Economy, Elsevier, vol. 27(3), pages 520-533, September.
    14. Paul Davidson, 1986. "Finance, Funding, Saving, and Investment," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 9(1), pages 101-110, September.
    15. Breitung, Jorg & Candelon, Bertrand, 2006. "Testing for short- and long-run causality: A frequency-domain approach," Journal of Econometrics, Elsevier, vol. 132(2), pages 363-378, June.
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    Cited by:

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    2. Kais Tissaoui & Ilyes Abidi & Nadia Azibi & Mariem Nsaibi, 2024. "Spillover Effects between Crude Oil Returns and Uncertainty: New Evidence from Time-Frequency Domain Approaches," Energies, MDPI, vol. 17(2), pages 1-24, January.
    3. Matteo Farnè & Angela Montanari, 2022. "A Bootstrap Method to Test Granger-Causality in the Frequency Domain," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 935-966, March.
    4. Matteo Farn'e & Angela Montanari, 2018. "A bootstrap test to detect prominent Granger-causalities across frequencies," Papers 1803.00374, arXiv.org, revised Oct 2018.
    5. Haykel Tlili & Kais Tissaoui & Bassem Kahouli & Rabab Triki, 2024. "How volatility in the oil market and uncertainty shocks affect Saudi economy: a frequency approach," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-24, December.
    6. Rajendra N. Paramanik & Avishek Bhandari & Bandi Kamaiah, 2022. "Financial cycle, business cycle, and policy uncertainty in India: An empirical investigation," Bulletin of Economic Research, Wiley Blackwell, vol. 74(3), pages 825-837, July.
    7. 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,Facultad de Economía, CEDE, vol. 78, February.
    8. Santander Quino, Camila Miriam, 2022. "Ciclos económicos y financieros: Una aproximación empírica para Bolivia," Documentos de trabajo 1/2022, Instituto de Investigaciones Socio-Económicas (IISEC), Universidad Católica Boliviana.

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    More about this item

    Keywords

    Frequency domain; Granger causality; Credit and output cycle interdependence;
    All these keywords.

    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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