Rationale The recent shocks to the Spanish economy, linked to both COVID-19 and rising energy prices, have had an …

most of the individual forecasts in the Consensus survey data set have fairly good properties with respect to unbiasedness …

' forecasts showed less dispersion in the post-reform period. In respect of informational efficiency, we find evidence of a …

Energy forecasts are widely used by the U.S. government, politicians, think tanks,and utility companies. While short …-term forecasts were reasonably accurate, medium andlong-range forecasts have almost always been highly erroneous. In the U.S. many … energypolicy decisions are driven by Annual Energy Outlook (AEO) forecasts prepared byEnergy Information Association (EIA). This …

evaluations due to uncertainty in future oil prices. Conventionalprice forecasting methods used in the industry typically … underestimate the range ofuncertainty in oil and gas price forecasts. These forecasts traditionally considerpessimistic, most …

addresses decision support experiments and evaluations that have used seasonal-to-interannual forecasts and observational data … with these forecasts and data in resource management; (2) climatologists, hydrologists, and social scientists on how to … (3) science and resource managers as they plan for future investments in research related to forecasts and their role in …

, 142) on the characteristics of financial analysts' earnings forecasts after mergers. Specifically, I predict lower …

-rate method ever devised for early-design-stage tender price forecasts. However, the method is seldom used in practice partly … forecasts than the MJSEM and floor area models, leading to the conclusion that RMASEM may be the best model. …

Typical measures of goodness of construction price forecasts are the mean and standard deviation, coefficient of …