Most factor-based forecasting models for the term structure of interest rates depend on a fixed number of factor … forecasting model that learns new factor decompositions directly from data for an arbitrary number of factors, combining a …

Time series forecasting is an important area of forecasting in which past observations of the same variable are … models, autoregressive (AR) techniques, moving averages (MA) etc. Recent research activities in forecasting also suggested … that artificial neural networks can be used as an alternative to traditional linear forecasting models. This study will …

This paper contains a forecasting exercise on 30 time series, ranging on several fields, from economy to ecology. The …

Neural network, financial time series, approximation, forecasting. - Neuronale Netze, Finanzzeitreihen, Prognose …