contain the quering, reporting, online analytical processing (OLAP), statistical analysis and forecasting. ALSO company has … it. Also they are not using sales forecasting methods and for this reason their forecasts are not accurate. So applying … Business Intelligence Technologies and forecasting methods are the best solutions to solve these problems. The goal of this …

In this paper we evaluate performance of different models for the short-term forecasting of real consumption and … monthly indicators for the now-cast and forecast of consumption and investment growth. Short-term forecasting using factor …. The empirical analysis mostly focuses on out-of-sample (the period of 2003 Q1 to 2008 Q4) forecasting performance of the …

. The ways of estimating the accommodation market demand and forecasting methods are analyzed too. Accommodation demand is …

models (GARCH), which are widely used for forecasting non - stationary time series. GARCH methodology was discussed and non … forecasting model suitability for the analysed data. In the second part of the paper using discussed non - stationary time series … analysis methods stock exchange index volatility tendencies were explored, the best suited mathematical forecasting models were …

, Euro zone and 4 EU countries and to identify the most appropriate forecasting ARIMA model for each time series. First, the … most appropriate ARIMA forecasting model of each time series are identified in the study. Practical investigation is … finalized with the comparison of PPI forecasting models of investigated countries. It has been identified that Austrian ARIMA …