distribution by asking whether ethanol returns can be used to forecast different parts of field crops returns distribution, or vice … Squares. Forecast evaluation relies on quantile-weighed scoring rules, which identify regions of the distribution of interest … by using field crops returns. On the contrary, there is no evidence that ethanol can be used to forecast any region of …

distribution by asking whether ethanol returns can be used to forecast different parts of field crops returns distribution, or vice … Squares. Forecast evaluation relies on quantile-weighed scoring rules, which identify regions of the distribution of interest … by using field crops returns. On the contrary, there is no evidence that ethanol can be used to forecast any region of …

distribution by asking whether ethanol returns can be used to forecast different parts of field crops returns distribution, or vice … Squares. Forecast evaluation relies on quantile-weighed scoring rules, which identify regions of the distribution of interest … by using field crops returns. On the contrary, there is no evidence that ethanol can be used to forecast any region of …

distribution by asking whether ethanol returns can be used to forecast different parts of field crops returns distribution, or vice … Squares. Forecast evaluation relies on quantile-weighed scoring rules, which identify regions of the distribution of interest … by using field crops returns. On the contrary, there is no evidence that ethanol can be used to forecast any region of …

distribution by asking whether ethanol returns can be used to forecast different parts of field crops returns distribution, or vice … Squares. Forecast evaluation relies on quantile-weighed scoring rules, which identify regions of the distribution of interest … by using field crops returns. On the contrary, there is no evidence that ethanol can be used to forecast any region of …

We study the out-of-sample predictability of the real price of crude oil using forecast combinations constructed from …-change forecast at horizons ranging from 1 to 24 months with statistically significant MSFE reductions and directional accuracy. In …

accounting for the long-term price dynamic (i.e. its independent modeling), has demonstrated its efficiency in gaining forecast … adaptive methods of trend estimation, which are based on different algorithms of the empirical mode decomposition, while not … requiring any a priori setups, still, do not solve the studied issue. In turn, forecast combining conducted for individual …

forecasts?Methods. To test the effects of forecast accuracy, we applied three evidence-based guidelines to 19 published … known important effects.Findings. Modifying the econometric models to make them more conservative reduced forecast errors … forecast with an equal-weights model forecast reduced error by 7%. (II) Combining forecasts from two Australian models and from …