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Arabia is already known or is predicted by another forecasting method. The designed neural network is able to predict the … present method can promote the forecasting power of existing models to predict the price of any commercial oil instead of an …
Persistent link: https://www.econbiz.de/10010810087
We develop two- and three-state regime switching models and test their forecasting ability for oil prices. We use the …
Persistent link: https://www.econbiz.de/10011122087
We address some of the key questions that arise in forecasting the price of crude oil. What do applied forecasters need … in forecasting the price of oil? How useful are survey forecasts? How does one evaluate the sensitivity of a baseline oil …
Persistent link: https://www.econbiz.de/10009643504
Knowledge about rig markets is crucial for understanding the global oil market. In this paper we first develop a simple bargaining model for rig markets. Then we examine empirically the most important drivers for rig rate formation of floaters operating at the Norwegian Continental Shelf in the...
Persistent link: https://www.econbiz.de/10011968602
Oil price showed sharp fluctuations in recent years which revived the interest in its effect on inflation. In this paper, we discuss the relationship between oil price and inflation in Spain, at national and regional levels, and making the distinction between energy and non-energy inflation. To...
Persistent link: https://www.econbiz.de/10014496140
We propose a new time series model aimed at forecasting crude oil prices. The proposed specification is an unobserved …
Persistent link: https://www.econbiz.de/10005432664
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