has implications for the estimation of economic models of energy-intensive durables, for oil price forecasting, and for …

-time econometric oil price forecasting models. We investigate the merits of constructing combinations of six such models. Forecast … combinations have received little attention in the oil price forecasting literature to date. We demonstrate that over the last 20 …

energy-intensive durables, for the debate on speculation in oil markets, and for oil price forecasting. …

usefulness for forecasting real oil prices and global petroleum consumption. We find that world industrial production is one of …

important approach to forecasting the real price of oil which has not been studied systematically to date. This approach is …. Our objective is to evaluate this proposition. We derive from first principles a number of alternative forecasting model … not all product spread models are useful for out-of-sample forecasting, but some models are, even at horizons between one …

has implications for the estimation of economic models of energy-intensive durables, for oil price forecasting and for the …

approach of combining five of the leading forecasting models with equal weights dominates the strategy of selecting one model … the single most accurate forecasting model by horizon, its accuracy can be shown to be much more stable over time. The …

obvious advantage of financial and energy market data in forecasting oil prices is their availability in real time on a daily … monthly inventories. We conclude that typically not much is lost by ignoring high-frequency financial data in forecasting the …