The objective of this paper is to compare different forecasting methods for the short run forecasting of Business … Survey Indicators. We compare the forecasting accuracy of Artificial Neural Networks (ANN) vs. three different time series … to 2008, using the last eight quarters for comparing the forecasting accuracy of the different techniques. ANN and ARIMA …

. Conversely, in countries where expectations show a smooth transition towards recession, ARIMA models show the best forecasting …

The increasing interest aroused by more advanced forecasting techniques, together with the requirement for more … evaluate the forecasting performance of neural modelling relative to that of time series methods at a regional level … compare the forecasting performance of linear models to that of nonlinear alternative approaches. Pre-processed official …

In this paper, the exchange rate forecasting performance of neural network models are evaluated against the random walk … general, neural network models perform better than the traditionally used time series models in forecasting exchange rates. …

In this paper, the exchange rate forecasting performance of neural network models are evaluated against the random walk … general, neural network models perform better than the traditionally used time series models in forecasting exchange rates. …

In this paper I compare different models, a linear and a non-linear one, for forecasting industrial production by means … promising, as the forecasting performance shows a clear improvement over the linear parametric model. …

n this paper I compare different models, a linear and a non-linear one, for forecasting industrial production by means … promising, as the forecasting performance shows a clear improvement over the linear parametric model. …

to modeling and forecasting time series: linear approach and nonlinear approach. Linear models [2] were used for a long …