performance of competing models in forecasting is used to assess the adequacy of a specific model. To account for nonstationarity … considerably but in most cases under study this model class involves a loss in ex-ante forecasting relative to nonperiodic models … and Swedish data forecasting exercises yield a unique recommendation of unit roots in consumption and income data which is …

We present the results of an extensive study on modeling and forecasting of the long-term seasonal component (LTSC) of … decompositions and wavelet smoothers. We find that in terms of forecasting EEX and Nord Pool spot prices up to a year ahead, wavelet …

We propose a method to include seasonality in any diffusion model that has a closed-form solution. The resulting … diffusion model captures seasonality in a way that naturally matches the original diffusion model's pattern. The method assumes …, which ignores seasonality. One of the main findings is that modeling seasonality in a GBM generates good predictions but …

daily prices. Estimates in a Fractional Integrated GARCH framework identify the importance of long memory, seasonality, and … seasonality, and long memory specifications which perform well at more distant horizons particularly with rising volatility. The …

The majority of tourism destinations appears to be characterized by a remarkable degree of seasonality of demand that … development of local capabilities and of the job market. The wide array of issues related to seasonality of demand for tourism … destinations has thus stimulated economic research. This paper briefly discusses the essential aspects of seasonality of tourism …

This study aims to analyze the effects of data pre-processing on the performance of forecasting based on neural network … demand to Catalonia (Spain) and compare the forecasting accuracy of four processing methods for the input vector of the … networks: levels, growth rates, seasonally adjusted levels and seasonally adjusted growth rates. When comparing the forecasting …

modelling and forecasting of monthly export of meat and meat products from India. Augmented Dickey-Fuller test has been used for … forecasting the future export. The evaluation of forecasting of export of meat and meat preparations has been carried out with … data under consideration was used for out-of-sample forecasting along with the upper and lower 95 per cent confidence …

This study aims to analyze the effects of data pre-processing on the performance of forecasting based on neural network … demand to Catalonia (Spain) and compare the forecasting accuracy of four processing methods for the input vector of the … networks: levels, growth rates, seasonally adjusted levels and seasonally adjusted growth rates. When comparing the forecasting …

nonlinearity. Potential difficulties in placing the analysis in the standard I(1)/I(0) framework are highlighted and comparisons … with previous Irish studies are made. Tests for fractional integration and nonlinearity, including random field regressions …