Showing 1 - 10 of 69
Persistent link: https://www.econbiz.de/10009260180
-time forecasts of the real price of oil can be more accurate than the no-change forecast at horizons up to one year. In some cases … prices, forecasts based on AR and ARMA models, and the no-change forecast. In addition, these VAR models have consistently … forecasters to interpret their oil price forecast in light of economic models and to evaluate its sensitivity to alternative …
Persistent link: https://www.econbiz.de/10009260885
We use vector autoregressions with drifting coefficients and stochastic volatility to investigate how the dynamic effects of oil supply shocks on the U.S. economy have changed over time. We find a substantial decline in the short-run price elasticity of oil demand since the mid-eighties. This...
Persistent link: https://www.econbiz.de/10009424731
much the forecast would change relative to the baseline forecast under alternative scenarios about future oil demand and … evaluating the risks underlying these forecasts. We show how policy-relevant forecast scenarios can be constructed from recently … to these scenarios affect the upside and downside risks embodied in the baseline real-time oil price forecast. Such risk …
Persistent link: https://www.econbiz.de/10009424734
Persistent link: https://www.econbiz.de/10009486210
the no-change forecast. Our key finding is that substantial reductions in the mean-squared prediction error (MSPE) of … greater reductions in MSPEs are possible by constructing a pooled forecast that assigns equal weight to five of the most …
Persistent link: https://www.econbiz.de/10011429580
Persistent link: https://www.econbiz.de/10011299353
Persistent link: https://www.econbiz.de/10011346927
of allowing for time variation in vector autoregressive (VAR) model parameters and of constructing forecast combinations …
Persistent link: https://www.econbiz.de/10009746576
forecast combinations to vary across forecast horizons. While the latter approach is not always more accurate than selecting … mean-squared prediction error of real-time pooled forecasts is between 3% and 29% lower than that of the no-change forecast … as well as quarterly forecasts. We illustrate how forecast pooling may be used to produce real-time forecasts of the real …
Persistent link: https://www.econbiz.de/10010418248