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.