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Alexander, R., & Al-Malkawi, H. N. (2022). On the Relationship between Macroeconomic Factors and S&P BSE Auto Index: An ARDL Approach. In M. H. Bilgin, H. Danis, E. Demir, & G. Mustafa (Eds.), Eurasian Business and Economics Perspectives: Proceedings of the 35th Eurasia Business and Economics Society Conference (pp. 245-263). Springer International Publishing.
https://doi.org/10.1007/978-3-030-94672-2_15

has been cited by the following article:

• TITLE: Macroeconomic Determinants of the Brazilian Stock Market: An Autoregressive Distributed Lag Approach

  AUTHORS: Edson Roberto Vieira, Gabriel Silva Ferrando

  KEYWORDS: Macroeconomic Variables, ARDL Model, Co-Integration, Brazilian Stock Market

  JOURNAL NAME: Open Journal of Business and Management, Vol.12 No.6, November 7, 2024

  ABSTRACT: The purpose of this study is to analyze the influence of macroeconomic variables on the performance of the Brazilian stock market between January 2010 and May 2024. The variables selected for the investigation include the IPCA, GDP, Selic interest rate, real effective exchange rate, EMBI and the money supply by M1 aggregate. Estimations were carried out using the Autoregressive Distributed Lag (ARDL) method, which allows cointegration tests to be carried out using both level and first difference variables. The main results of the study indicate that the performance of the Brazilian stock market seems to be directly linked to a stable economic environment, characterized by low levels of inflation and interest rates, compatible with maintaining economic growth.