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On the time-frequency effects of macroeconomic policy on growth cycles in Brazil

Author

Listed:
  • Matos, Paulo
  • Alves, Douglas
  • Monteiro, Valdeir

Abstract

This paper adds to the literature on the growth cycle in Brazil by addressing instrumentalized co-movements between the quarterly variation of real Gross Domestic Product (GDP) per capita versus net debt to GDP, primary balance to GDP, inflation, official interest rate, household, and enterprise credit to GDP from 2004q1 to 2022q4. The authors use wavelet algorithms to process data by decomposing each time series as a wave-shaped function of the position and scale, partial coherency to analyze time-frequency correlation, and partial phase difference and gain to find and measure the lead-lag relationships. Summarizing the short-run main findings, in periods of non-recession, primary balance uses to leads in-phase growth cycles, while inflation and household credit use to lead out-of-phase growth cycles. During recessions, there is a positive role played by the enterprise credit and a negative leadership of interest rates on the growth cycle. According to the results, Brazil could reach a short-run fiscal equilibrium by increasing net domestic debt under control associated with a credible flow of fiscal surplus able to pay the service of the new debt pattern, with lower inflation and interest rates and thus not compromising economic growth.

Suggested Citation

  • Matos, Paulo & Alves, Douglas & Monteiro, Valdeir, 2025. "On the time-frequency effects of macroeconomic policy on growth cycles in Brazil," Research in International Business and Finance, Elsevier, vol. 73(PB).
  • Handle: RePEc:eee:riibaf:v:73:y:2025:i:pb:s0275531924004537
    DOI: 10.1016/j.ribaf.2024.102660
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    1. Beck Thorsten & Büyükkarabacak Berrak & Rioja Felix K. & Valev Neven T., 2012. "Who Gets the Credit? And Does It Matter? Household vs. Firm Lending Across Countries," The B.E. Journal of Macroeconomics, De Gruyter, vol. 12(1), pages 1-46, March.
    2. Aguiar-Conraria, Luis & Martins, Manuel M.F. & Soares, Maria Joana, 2018. "Estimating the Taylor rule in the time-frequency domain," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 122-137.
    3. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
    4. Robert E. Lucas, 2001. "Inflation and Welfare," International Economic Association Series, in: Axel Leijonhufvud (ed.), Monetary Theory as a Basis for Monetary Policy, chapter 4, pages 96-142, Palgrave Macmillan.
    5. Rossi, Jose Luiz & Delmondes de Carvalho Rossi, Marina & Carvalho Cunha, Daniel, 2019. "Transmission of monetary policy through the wealth channel in Brazil: Does the type of asset matter?," Research in International Business and Finance, Elsevier, vol. 50(C), pages 279-293.
    6. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
    7. Carmen M. Reinhart & Kenneth S. Rogoff, 2010. "Growth in a Time of Debt," American Economic Review, American Economic Association, vol. 100(2), pages 573-578, May.
    8. Chen, Xiaoshan & Kontonikas, Alexandros & Montagnoli, Alberto, 2012. "Asset prices, credit and the business cycle," Economics Letters, Elsevier, vol. 117(3), pages 857-861.
    9. Paulo Matos & Cristiano da Silva & Antonio Costa, 2024. "Analyzing U.S. GDP-Debt-Inflation Linkages in the Time-Frequency Domain," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 16(11), pages 1-27, November.
    10. Beck, Thorsten & Pamuk, Haki & Ramrattan, Ravindra & Uras, Burak R., 2018. "Payment instruments, finance and development," Journal of Development Economics, Elsevier, vol. 133(C), pages 162-186.
    11. Goodell, John W. & Goutte, Stephane, 2021. "Co-movement of COVID-19 and Bitcoin: Evidence from wavelet coherence analysis," Finance Research Letters, Elsevier, vol. 38(C).
    12. Matos, Paulo & Costa, Antonio & da Silva, Cristiano, 2021. "COVID-19, stock market and sectoral contagion in US: a time-frequency analysis," Research in International Business and Finance, Elsevier, vol. 57(C).
    13. Luís Aguiar-Conraria & Maria Joana Soares, 2014. "The Continuous Wavelet Transform: Moving Beyond Uni- And Bivariate Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 28(2), pages 344-375, April.
    14. Aguiar-Conraria, Luís & Martins, Manuel M.F. & Soares, Maria Joana, 2023. "The Phillips curve at 65: Time for time and frequency," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    15. Ibrahim Ahamada & Philippe Jolivaldt, 2010. "Classical vs wavelet-based filters Comparative study and application to business cycle," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00476022, HAL.
    16. Afonso, José Roberto & Araújo, Eliane Cristina & Fajardo, Bernardo Guelber, 2016. "The role of fiscal and monetary policies in the Brazilian economy: Understanding recent institutional reforms and economic changes," The Quarterly Review of Economics and Finance, Elsevier, vol. 62(C), pages 41-55.
    17. Torun, Erdost & Chang, Tzu-Pu & Chou, Ray Y., 2020. "Causal relationship between spot and futures prices with multiple time horizons: A nonparametric wavelet Granger causality test," Research in International Business and Finance, Elsevier, vol. 52(C).
    18. Melo-Velandia, Luis Fernando & Romero, José Vicente & Ramírez-González, Mahicol Stiben, 2025. "The Global Financial Cycle and country risk in emerging markets during stress episodes: A Copula-CoVaR approach," Research in International Business and Finance, Elsevier, vol. 73(PA).
    19. Souza-Sobrinho, Nelson F., 2011. "The Role of Interest Rates in the Brazilian Business Cycles," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 65(3), September.
    20. Matos, Paulo & da Silva, Cristiano & dos Santos, Davi & Reinaldo, Luciana, 2021. "Credit, default, financial system and development," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 281-289.
    21. Sachsida, Adolfo & Junior, Roberto de Góes Ellery & Gomes, Victor, 2002. "Business Cycle Fluctuations in Brazil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 56(2), April.
    22. Mr. Ivo Krznar & Mr. Troy D Matheson, 2017. "Financial and Business Cycles in Brazil," IMF Working Papers 2017/012, International Monetary Fund.
    23. Allan Dizioli & Hou Wang, 2023. "How Do Adaptive Learning Expectations Rationalize Stronger Monetary Policy Response in Brazil?," IMF Working Papers 2023/019, International Monetary Fund.
    24. Ibrahim Ahamada & Philippe Jolivaldt, 2010. "Classical vs wavelet-based filters Comparative study and application to business cycle," Post-Print halshs-00476022, HAL.
    25. Costa, Antonio & da Silva, Cristiano & Matos, Paulo, 2022. "The Brazilian financial market reaction to COVID-19: A wavelet analysis," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 13-29.
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    More about this item

    Keywords

    Co-movements; Lead-Lag relationship; Transmission channel; Fiscal and monetary policies; Credit market; Recession and non-recession;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • O42 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Monetary Growth Models
    • H60 - Public Economics - - National Budget, Deficit, and Debt - - - General

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