capital structure of their firms. The results of comparing the out-of-sample forecasting capabilities of the two methods … method is the more appropriate one between the two methods to be applied to build a forecasting model for the high tech …

This paper presents a rigurous framework for evaluating alternative forecasting methods for Chilean industrial … production and sales. While nonlinear features appear to be important for forecasting the very short term, simple univariate … linear models perform about as well for almost every forecasting horizon …

-PC technique is proposed. To determine the practical usefulness of the model, several pseudo forecasting exercises on 8 series of …", namely 1984. After 1984, FNN-PC has the same accuracy in forecasting with respect to the benchmark. …

forecasting methods. …

intervention have both caused the forecasting process an uneasy task. The present paper employs the monetary-portfolio balance … (1990M1-2008M8). The out-of-sample forecasting assessment reveals that the ANNs have outperformed the RW, which in … models by all evaluation criteria. In addition, the findings also show that the modified model has superior forecasting …

This paper presents an artificial neural network (ANN) approach for forecasting the performance of electric energy … clearness index. A forecasting performance measure such as percentage root mean square error has been presented for each model …. The second model, which gives the most accurate results, has been used in forecasting the generation output for another PV …