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Business and Financial Cycles: an estimation of cycles’ length focusing on Macroprudential Policy

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  • Rodrigo Barbone Gonzalez
  • Joaquim Lima
  • Leonardo Marinho

Abstract

Business and financial cycles are important to Monetary and Macroprudential Policies. The Countercyclical Capital Buffer (CCB) proposed by the Basel Committee on Banking Supervision (BCBS) assumes that the financial cycle is four times longer than the business one with direct impacts over its main indicator, the credit-to-GDP gap. This paper addresses the issue of estimating credit and business cycles’ length using Bayesian Structural Time Series Models (STM) and Singular Spectrum Analysis (SSA) followed by Fourier-based Spectral Analysis. The results, considering 28 countries, suggest that financial cycles, measured by the credit-to-GDP, could indeed be longer than the business one, but definitely shorter than the one implied in the cut-off frequency used by the BCBS. We find that most countries in the sample have financial cycles between 13 and 20 years, but there is a smaller group of countries whose estimates are close to those of the business cycle, i.e., 3 to 7 years. Finally, we estimate q-ratios objectively using STM and find that a HP smoothing factor that closely relates to the gain functions of our estimated state space form is in the trend component of HP(150) and not in the gap of HP(400k).

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  • Rodrigo Barbone Gonzalez & Joaquim Lima & Leonardo Marinho, 2015. "Business and Financial Cycles: an estimation of cycles’ length focusing on Macroprudential Policy," Working Papers Series 385, Central Bank of Brazil, Research Department.
  • Handle: RePEc:bcb:wpaper:385
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    Cited by:

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    2. Jitka Pomenkova & Eva Klejmova & Zuzana Kucerova, 2019. "Cyclicality in lending activity of Euro area in pre- and post- 2008 crisis: a local-adaptive-based testing of wavelets," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 19(1), pages 155-175.
    3. Gonzalez, Rodrigo Barbone & Marinho, Leonardo Sousa Gomes & Lima, Joaquim Ignacio Alves de Vasconcellos e, 2017. "Re-anchoring countercyclical capital buffers: Bayesian estimates and alternatives focusing on credit growth," International Journal of Forecasting, Elsevier, vol. 33(4), pages 1007-1024.
    4. Esti Kemp & Rene van Stralen & Alexandros Vardoulakis & Peter J. Wierts, 2018. "The Non-Bank Credit Cycle," Finance and Economics Discussion Series 2018-076, Board of Governors of the Federal Reserve System (U.S.).
    5. Bouvatier, Vincent & Delatte, Anne-Laure & Rehault, Pierre-Nicolas, 2022. "Measuring credit procyclicality: A new database," Emerging Markets Review, Elsevier, vol. 52(C).
    6. Mercè Sala-Rios & Teresa Torres-Solé & Mariona Farré-Perdiguer, 2016. "Credit and business cycles’ relationship: evidence from Spain," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 15(3), pages 149-171, December.
    7. Greg Farrell & Esti Kemp, 2020. "Measuring the Financial Cycle in South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 88(2), pages 123-144, June.
    8. Škare, Marinko & Porada-Rochoń, Małgorzata, 2020. "Multi-channel singular-spectrum analysis of financial cycles in ten developed economies for 1970–2018," Journal of Business Research, Elsevier, vol. 112(C), pages 567-575.
    9. Eyno Rots, 2018. "Business, Housing, and Credit Cycles – The Case of Hungary," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 17(4), pages 5-22.
    10. Łukasz Kurowski, 2021. "Financial cycle − A critical analysis of the methodology for its identification," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 10(3), pages 99-116.
    11. Veysel KARAGOL & Burhan DOÄžAN, 2021. "Interaction between business and financial cycles: evidence from Turkey," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 12, pages 123-150, December.
    12. Coussin, Maximilien, 2022. "Singular spectrum analysis for real-time financial cycles measurement," Journal of International Money and Finance, Elsevier, vol. 120(C).
    13. Rodrigo Barbone Gonzalez & Joaquim Lima & Leonardo Marinho, 2015. "Countercyclical Capital Buffers: bayesian estimates and alternatives focusing on credit growth," Working Papers Series 384, Central Bank of Brazil, Research Department.

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