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The substantial variation in the real price of oil since 2003 has renewed interest in the question of how to forecast …, including the question of whether financial market information helps forecast the real price of oil in physical markets. An … substantial and statistically significant real-time improvements in forecast accuracy. The preferred mixed-data sampling (MIDAS …
Persistent link: https://www.econbiz.de/10010336456
This paper constructs a monthly real-time oil price dataset using backcasting and compares the forecast performance of … used to forecast the real price of oil. The results show that time-varying volatility models dominate their counterparts …
Persistent link: https://www.econbiz.de/10012943623
The substantial variation in the real price of oil since 2003 has renewed interest in the question of how to forecast …, including the question of whether financial market information helps forecast the real price of oil in physical markets. An … and statistically significant real-time improvements in forecast accuracy. The preferred MIDAS model reduces the MSPE by …
Persistent link: https://www.econbiz.de/10010203447
The 2015 workshop on “Recent evolutions of oil and commodity prices”, organized by FEEM, focused on the sharp decline in the oil price in 2014. High crude oil production and slower demand growth explain a large fraction of the current low level of prices, but a complex set of factors is...
Persistent link: https://www.econbiz.de/10012911766
competing strategies such as forecast combinations and shrinkage methods. A mean-variance investor who targets a constant Sharpe …
Persistent link: https://www.econbiz.de/10013272635
This paper shows that oil shocks primarily impact economic growth through the conditional variance of growth. Our comparison of models focuses on density forecasts. Over a range of dynamic models, oil shock measures and data we fi nd a robust link between oil shocks and the volatility of...
Persistent link: https://www.econbiz.de/10014114772
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