期刊名称:International Journal of Energy Economics and Policy
电子版ISSN:2146-4553
出版年度:2019
卷号:9
期号:5
页码:1-6
DOI:10.32479/ijeep.7597
出版社:EconJournals
摘要:The paper proposes a machine-learning approach to predict oil price. Market participants can forecast prices using such factors as: US key rate, US
dollar index, S and P500 index, Volatility index, US consumer price index. After analyzing the results and comparing the accuracy of the model first,
we can conclude that oil prices in 2019-2022 will have a slight upward trend and will generally be stable. At the time of the fall in June 2012 the
price of Brent fell to a minimum of 17 months. The reason for this was the weak demand for oil futures, which was caused by poor data on the state
of the US labor market.
关键词:Energy Innovative Start-ups; Knowledge-based Strategy; Human Capital Efficiency; Value Creation
其他关键词:oil price shocks; economic growth; oil impact; factors; dollar index; inflation; key rate; volatility index; S&P500 index