different types of econometric models for oil price forecasting. Several specifications have been proposed in the economic …). The empirical literature is very far from any consensus about the appropriate model for oil price forecasting that should … common sample and common data. Fourth, we evaluate the forecasting performance of each selected model using static and …

The goal of the article lies in forecasting tendencies of the current demand of the local labour market on the basis of … macro-economic indicators, the article builds equations of multiple regression, use of which would allow forecasting the … current demand in the local labour market in the middle-term perspective. The prospect of further studies is forecasting the …

-of-sample performance of univariate and multivariate forecasting models by aggregating state level forecasts versus forecasting the … aggregate directly. We find evidence that forecasting the disaggregate series and accounting for spatial effects drastically … improves forecasting performance under Root Mean Squared Forecast Error Loss. Based on the in-sample observations we attempt to …

rate, our results suggest that the PwC panel has some forecasting ability for time horizons from 3 to 9, improving when it …

analyzing commodity markets and prices and to solving price forecasting problems, concentrating on more recent advances in …

We discuss the development and implementation of , a sales forecasting model, by pack size, category, channel, region …