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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 …
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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 …
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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/10010464683
This paper evaluates alternative indicators of global economic activity and other market fundamentals in terms of their usefulness for forecasting real oil prices and global petroleum consumption. We find that world industrial production is one of the most useful indicators that has been...
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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