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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 - ESPE, vol. 33(78), pages 176-189, December.
  • Handle: RePEc:col:000107:014121
    DOI: 10.1016/j.espe.2015.05.002
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    Cited by:

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    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 – Facultad de Economía – CEDE, vol. 78, February.
    3. 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.
    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. Matteo Farn'e & Angela Montanari, 2018. "A bootstrap test to detect prominent Granger-causalities across frequencies," Papers 1803.00374, arXiv.org, revised Oct 2018.
    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.

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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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