Modelagem da Taxa de Câmbio Real no Brasil: Uma Aplicação ARIMA-GARCH para o Período 2010-2018
DOI:
https://doi.org/10.14393/REE-v36n2a2021-51427Abstract
The aim of this paper is to analyze and model the real exchange rate series in Brazil and its volatility from January 2010 to March 2018. For this, we make use of an the ARIMA model in the level series and a GARCH model with asymmetric normal distribution in the residuals of the adjusted ARIMA model. Given the volatility estimated by the GARCH model, it can be concluded that the greatest exchange rate instability occurs during 2015 and 2016, which can be explained by political scenario, which led to distrust in Brazil's investors and trading and financial partners.
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