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The Impacts of the Interest Rate, the Exchange Rate, and the Market Index on the Stock Returns of the Brazilian Banks

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  • Paulo Henrique Ângelo Souza
  • Mathias Schneid Tessmann
  • José Luiz Rossi Júnior
  • Marcelo de Oliveira Passos

Abstract

This paper aims to analyze the impact of interest rate, exchange rate, and market on the returns and volatility of the stocks of banks listed on the Brazilian Stock Exchange. This analysis used two statistical models: the linear model estimated using Ordinary Least Squares and the ARCH/GARCH time series volatility models. The econometric studies considered the daily data of 15 financial institutions listed on the stock exchange during the period from January 2009 to December 2021. Regarding the market effect, the Ibovespa index for the period was considered; for the interest rate, the CDI (Certificate of Interbank Deposit) was used; and, about the exchange rate, the dollar rate was adopted as a reference. The results indicate that the distribution of stock returns is asymmetrical, with an elongated tail on the right. It was observed, based on the econometric model applied, that the daily returns of the shares are significantly influenced by the market, and the interest rate exerts the least impact on the returns. These findings are relevant to the scientific community exploring the topic and provide valuable insights for bankers, analysts, market investors, regulatory authorities, and society in the decision-making process. Â JEL classification numbers: C32, G00, G21.

Suggested Citation

  • Paulo Henrique Ângelo Souza & Mathias Schneid Tessmann & José Luiz Rossi Júnior & Marcelo de Oliveira Passos, 2024. "The Impacts of the Interest Rate, the Exchange Rate, and the Market Index on the Stock Returns of the Brazilian Banks," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 14(2), pages 1-3.
  • Handle: RePEc:spt:apfiba:v:14:y:2024:i:2:f:14_2_3
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    References listed on IDEAS

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    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    3. Aldrich, J., 1995. "Correlations genuine and spurious in Pearson and Yule," Discussion Paper Series In Economics And Econometrics 9502, Economics Division, School of Social Sciences, University of Southampton.
    4. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    5. repec:eme:mfppss:0307435061064193 is not listed on IDEAS
    6. Kasman, Saadet & Vardar, Gülin & Tunç, Gökçe, 2011. "The impact of interest rate and exchange rate volatility on banks' stock returns and volatility: Evidence from Turkey," Economic Modelling, Elsevier, vol. 28(3), pages 1328-1334, May.
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    More about this item

    Keywords

    Banking; Interest rates; Exchange rate; Bank stocks.;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G00 - Financial Economics - - General - - - General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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