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Credit and business cycles: Causal effects in the frequency domain

Author

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.
    • Handle: RePEc:col:000107:014121
    DOI: 10.1016/j.espe.2015.05.002
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    Cited by:

    1. Prats Albentosa, María Asuncíon & Sandoval, Beatriz, 2020. "Does stock market capitalization cause GDP? A causality study for Central and Eastern European countries?," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 14, pages 1-29.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Khwazi Magubane, 2024. "Financial cycles synchronisation in South Africa. A dynamic conditional correlation (DCC) Approach," Cogent Economics & Finance, Taylor & Francis Journals, vol. 12(1), pages 2321069-232, December.
    7. Matteo Farn'e & Angela Montanari, 2018. "A bootstrap test to detect prominent Granger-causalities across frequencies," Papers 1803.00374, arXiv.org, revised Oct 2018.
    8. 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.
    9. Camila Miriam Santander Quino, 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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    Keywords

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    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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