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Real oil prices surged from 2009 through 2014, comparable to the 1970's oil shock period. Standard explanations based on monopoly markup fall short since inflation remained low after 2009. This paper contributes strong evidence of Granger (1969) predictability of nominal factors to oil prices,...
Persistent link: https://www.econbiz.de/10012154675
This paper undertakes an investigation into the efficiency of the crude oil futures market and the forecasting accuracy of futures prices. Efficiency of the market is analysed in terms of the expected excess returns to speculation in the futures market. Accuracy of futures prices is compared...
Persistent link: https://www.econbiz.de/10014395895
results indicate that the forecast model incorporating internet search data provides additional information about tourist …
Persistent link: https://www.econbiz.de/10012170113
Recent technological developments and past technology transitions suggest that the world could be on the verge of a profound shift in transportation technology. The return of the electric car and its adoption, like that of the motor vehicle in place of horses in early 20th century, could cut oil...
Persistent link: https://www.econbiz.de/10011704548
We produce a social unrest risk index for 125 countries covering a period of 1996 to 2020. The risk of social unrest is based on the probability of unrest in the following year derived from a machine learning model drawing on over 340 indicators covering a wide range of macro-financial,...
Persistent link: https://www.econbiz.de/10012796240
Persistent link: https://www.econbiz.de/10012796674
documents of the following years to understand the evolution of fiscal forecast errors. Our findings suggest that: (i) for most … terms of drivers, we show that forecast errors for the fiscal balance-to-GDP ratio are positively correlated with GDP growth … and terms of trade changes and negatively with GDP deflator surprises; (iv) forecast errors for public debt-to-GDP ratios …
Persistent link: https://www.econbiz.de/10012612338
In this paper I assess the ability of econometric and machine learning techniques to predict fiscal crises out of sample. I show that the econometric approaches used in many policy applications cannot outperform a simple heuristic rule of thumb. Machine learning techniques (elastic net, random...
Persistent link: https://www.econbiz.de/10012612343
An essential element of the work of the Fund is to monitor and forecast international trade. This paper uses SWIFT … (PMI), to improve the short-term forecast of international trade. A horse race between linear regressions and machine …
Persistent link: https://www.econbiz.de/10012392595
contributors to overall inflation forecast errors. Perhaps more importantly, relatively small core inflation forecast errors appear …
Persistent link: https://www.econbiz.de/10012103690