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 …

We analyze the forecasting performance of small mixed frequency factor models when the observed variables share … trans- fer of information among indicators. We nd that allowing for common trends improves forecasting performance over a …

Prediction markets have emerged fairly recently as a promising forecasting mechanism to handle efficiently the dynamic … Risk Management will then be outlined. How the probability of Risk Occurrence can be predicted with a greater degree of …

for economic analysis and forecasting. This enormous volume of information, available in real time, can be handled by … inflows to Spain (the Spanish tourist industry's main customers). The improvement in the forecasting provided by the short …

This study compares the performance of different Artificial Neural Networks models for tourist demand forecasting in a … multiple-output framework. We test the forecasting accuracy of three different types of architectures: a multi-layer perceptron …-of-sample forecasting comparison. When comparing the forecasting accuracy of the different techniques for each visitor market and for …

This study compares the performance of different Artificial Neural Networks models for tourist demand forecasting in a … multiple-output framework. We test the forecasting accuracy of three different types of architectures: a multi-layer perceptron …-of-sample forecasting comparison. When comparing the forecasting accuracy of the different techniques for each visitor market and for …

We analyze the forecasting performance of small mixed frequency factor models when the observed variables share … transfer of information among indicators. We find that allowing for common trends improves forecasting performance over a …

forecasting. We test the forecasting accuracy of three different types of architectures: a multi-layer perceptron, a radial basis …. These results indicate the potential existence of instabilities when using dynamic networks for forecasting purposes. We … also find that for higher memories, the forecasting performance obtained for longer horizons improves, suggesting the …

forecasting. We test the forecasting accuracy of three different types of architectures: a multi-layer perceptron, a radial basis …. These results indicate the potential existence of instabilities when using dynamic networks for forecasting purposes. We … also find that for higher memories, the forecasting performance obtained for longer horizons improves, suggesting the …