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- Title
ANÁLISE E PREVISÃO DA TAXA DE INFLAÇÃO NO BRASIL: UMA ABORDAGEM VIA MODELO SARIMA.
- Authors
Constantino, Michel; Fonseca Mendes, Dany Rafael; Silva Moreira, Tito Belchior
- Abstract
The present article aimed to analyze the behavior and prediction of the inflation rate in Brazil between 2007-2017. Economic indicators directly influence the strategic decisions of public and private companies, in this context it is fundamental to evaluate the data and try to predict the future behavior of these rates. The estimated results with the SARIMA model allowed to help future decisions, since its efficiency follows a 95% success in the trend of the next years for the Brazilian inflation rate. The forecast estimate using the seasonal model predicts an increase in the inflation rate for the coming years, following a probable resumption of growth in Brazil.
- Publication
Revista Científica Hermes, 2019, Vol 24, p244
- ISSN
2175-0556
- Publication type
Article
- DOI
10.21710/rch.v24i0.446