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Testing for causality between credit and real business cycles in the frequency domain: an illustration

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  • Jos� E. G�mez-Gonz�lez
  • Jair N. Ojeda-Joya
  • H�ctor Manuel Z�rate
  • Fernando Tenjo-Galarza

Abstract

We estimate credit and GDP cycles for three Latin American economies and study their relation in the frequency domain. We compute coherence statistics between credit and GDP cycles and find that the highest correlations between these two cycles are obtained in medium-term frequencies. Spectral cross-correlations suggest a positive relation among lags in credit cycles and contemporaneous GDP cycles. Furthermore, this relation is higher approximately at medium-term frequencies. We perform frequency-domain Granger-type causality tests and find evidence of causality running from credit cycles to GDP cycles in all three economies.

Suggested Citation

  • Jos� E. G�mez-Gonz�lez & Jair N. Ojeda-Joya & H�ctor Manuel Z�rate & Fernando Tenjo-Galarza, 2014. "Testing for causality between credit and real business cycles in the frequency domain: an illustration," Applied Economics Letters, Taylor & Francis Journals, vol. 21(10), pages 697-701, July.
    • Handle: RePEc:taf:apeclt:v:21:y:2014:i:10:p:697-701
    DOI: 10.1080/13504851.2014.884689
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    1. Charles Goodhart & Boris Hofmann, 2008. "House prices, money, credit, and the macroeconomy," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 24(1), pages 180-205, spring.
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    4. 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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    2. Mikhail Stolbov, 2017. "Causality between credit depth and economic growth: evidence from 24 OECD countries," Empirical Economics, Springer, vol. 53(2), pages 493-524, September.
    3. Oguzhan Cepni & Yavuz Selim Hacihasanoglu & Muhammed Hasan Yilmaz, 2020. "Credit decomposition and economic activity in Turkey: A wavelet-based approach," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 20(3), pages 109-131.
    4. Amador-Torres, Juan S. & Gomez-Gonzalez, Jose Eduardo & Ojeda-Joya, Jair N. & Jaulin-Mendez, Oscar F. & Tenjo-Galarza, Fernando, 2016. "Mind the gap: Computing finance-neutral output gaps in Latin-American economies," Economic Systems, Elsevier, vol. 40(3), pages 444-452.
    5. Bartoletto, Silvana & Chiarini, Bruno & Marzano, Elisabetta & Piselli, Paolo, 2019. "Business cycles, credit cycles, and asymmetric effects of credit fluctuations: Evidence from Italy for the period of 1861–2013," Journal of Macroeconomics, Elsevier, vol. 61(C), pages 1-1.
    6. 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.
    7. Mikhail Stolbov, 2017. "Causality between credit depth and economic growth: evidence from 24 OECD countries," Empirical Economics, Springer, vol. 53(2), pages 493-524, September.
    8. Bogdan Andrei Dumitrescu & Robert-Adrian Grecu, 2023. "Impact of Financial Factors on the Economic Cycle Dynamics in Selected European Countries," JRFM, MDPI, vol. 16(12), pages 1-17, November.
    9. Süssmuth, Bernd, 2019. "Bitcoin and Web Search Query Dynamics: Is the price driving the hype or is the hype driving the price?," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203566, Verein für Socialpolitik / German Economic Association.
    10. Luigi Oddo & Mile Bosnjak, 2021. "A comparative analysis of the monetary policy transmission channels in the U.S: a wavelet-based approach," Applied Economics, Taylor & Francis Journals, vol. 53(38), pages 4448-4463, August.

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