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Macroeconomic, industry-specific and bank-specific determinants of the profitability of Brazilian banks: dynamic panel evidence

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Abstract

This paper seeks to identify the effect of macroeconomic, industry-specific and bank-specific determinants on the profitability of the Brazilian banking sector. Profitability is measured by return on assets (ROA), return on equity (ROE) and economic value added (EVA). We incorporate in the analysis-independent variables of this sector that have not been considered in previous studies. To address profit persistence, we apply a dynamic panel data model and the GMM technique described by Arellano and Bover (1995) over the quarterly period from 2009Q1 to 2019Q4. The main results show that the macroeconomic variables of credit, activity and interest rate contribute to understanding the determining factors of bank profitability in Brazil. Regarding industry-specific and bank-specific determinants, the total operating expenses to total assets ratio and net interest margin are important determinants of the bank profitability, respectively. Thus, these new macroeconomic variables and industry-specific and bank-specific variables are important drivers to understand banking profitability in Brazil, as well as indicators to be monitored by the monetary authority to ensure the financial health of the banking system.

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Notes

  1. The Plano Real, instituted in 1994, finally managed to tame the persistently high inflation (at times hyperinflation) that characterized the previous decade.

  2. According to data from the Brazilian Central Bank (2020).

  3. Data refer to 2020. Available at https://data.worldbank.org/indicator/FD.AST.PRVT.GD.ZS?view=map.

  4. Equity/Total Assets.

  5. Organisation of Islamic Cooperation.

  6. (Cash and Cash Equivalents + Interbank Investments + Securities and Derivative Instruments)/Total Assets.

  7. Website page https://www3.bcb.gov.br/ifdata/.

  8. Brazilian Association of Financial and Capital Markets Entities.

  9. Brazilian Institute of Geography and Statistics.

  10. According to data from the Brazilian Central Bank (2019).

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Acknowledgments

We are grateful to two anonymous referees and to the editor for excellent comments and suggestions. Many thanks to Joana Almeida, Weyder Orlando Brandão Junior, and Benjamin Miranda Tabak for their enriching suggestions to improve our work. We also thank participants at various workshops and seminars for their useful comments and suggestions. Carlos E. Carrasco Gutierrez acknowledges the support of CNPq and FAPDF in Brazil.

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The authors did not receive support from any organization for the submitted work.

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Correspondence to Leandro Coghi Bernardelli.

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Appendix

Appendix

See Fig. 2.

Fig. 2
figure 2

Autocorrelation matrix of the analyzed variables

See Table 6.

Table 6 Results of the endogeneity test based on the modified Durbin–Wu–Hausman

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Bernardelli, L.C., Carrasco-Gutierrez, C.E. Macroeconomic, industry-specific and bank-specific determinants of the profitability of Brazilian banks: dynamic panel evidence. Empir Econ (2024). https://doi.org/10.1007/s00181-024-02568-1

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  • DOI: https://doi.org/10.1007/s00181-024-02568-1

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