Time Series

Statistical and Artificial Neural Networks Models for Electricity Consumption Forecasting in the Brazilian Industrial Sector

Analisando a Capacidade de Previsão entre Diferentes Classes de Modelos: um Estudo Comparativo para os Índices de Produção Industrial no Brasil

Artificial Neural Networks and Conditional Heteroscedastic Models for Forecasting Exchange Rate

Forecasting Capacity of Statistical and Neural Networks Models: Evidences for Brazilian Indexes of Industrial Production

Time Series Models Combination for Forecasting Quarterly GDP Components by the Expenditure Side

This study aims to analyze the predictive performance of the univariate and forecasting combination approaches for GDP components. For the empirical results, were used quarterly data from the Brazilian economy between 1996 and 2020.

Um Estudo Comparativo de Modelos de Previsão para o Consumo de Eletricidade da Indústria de Cimento no Brasil

Time Series Forecast Models Applied to Brazil's Gross Domestic Product from 1996 to 2019

The purpose of this article is to contribute to the formation of expectations, by the economic agents, regarding the future behavior in the Brazilian economy. The study compares time series forecasting models applied to the values of the quarterly …