Artificial Neural Networks

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.