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Financial develpoment and economic growth in Brazil: A non-linear ARDL approach

Author

Listed:
  • Clement Moyo

    (Department of Economics, Nelson Mandela University)

  • Hlalefang Khobai

    (Department of Economics, Nelson Mandela University)

  • Nwabisa Kolisi

    (Department of Economics, Nelson Mandela University)

  • Zizipho Mbeki

    (Department of Economics, Nelson Mandela University)

Abstract

Financial intermediation through the banking system plays an important role in economic development through the allocation of savings, thus improving productivity, and ultimately increasing the rate of economic growth. This paper examines the interrelationships between financial development and economic growth using the Nonlinear Autoregressive Distributed Lag (NARDL) model for Brazil. The time component of the study’s database is 1985 – 2015 inclusive. The study focused on the banking sector and stock market indicators of financial developments. The empirical results suggest that the banking sector measures of financial development have a negative relationship with economic growth while the financial development indicators representing stock market development are positively related to economic growth. The study also established an evidence of a long run and short run asymmetric relationship between financial development and growth. The empirical results open new insights for policy makers for long run and sustainable economic development.

Suggested Citation

  • Clement Moyo & Hlalefang Khobai & Nwabisa Kolisi & Zizipho Mbeki, 2018. "Financial develpoment and economic growth in Brazil: A non-linear ARDL approach," Working Papers 1811, Department of Economics, Nelson Mandela University, revised Mar 2018.
    • Handle: RePEc:mnd:wpaper:1811
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    Cited by:

    1. Dervis Kirikkaleli & Fusun Celebi Boz & Melike Torun, 2024. "Do Economic and Financial Stabilities Matter for Political Stability in Estonia?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 15202-15217, September.
    2. Haiyuan Yin & Baifan Chen, 2021. "Hometown identity of financial officials, financial development and promotion of officials in China," Australian Economic Papers, Wiley Blackwell, vol. 60(3), pages 520-543, September.
    3. Emmanuel Asafo-Adjei & Ebenezer Boateng & Zangina Isshaq & Anthony Adu-Asare Idun & Peterson Owusu Junior & Anokye M Adam, 2021. "Financial sector and economic growth amid external uncertainty shocks: Insights into emerging economies," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-26, November.
    4. Strike Mbulawa & Samuel Chingoiro, 2024. "Financial development, institutional quality and economic growth in countries in sub-Saharan Africa (SSA)," International Journal of Business Ecosystem & Strategy (2687-2293), Bussecon International Academy, vol. 6(1), pages 51-62, January.
    5. Ramaharo, Franck M., 2025. "The asymmetric impact of tourism on economic growth: empirical evidence from Madagascar," MPRA Paper 126422, University Library of Munich, Germany.

    More about this item

    Keywords

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    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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