We construct a monthly real-time data set consisting of vintages for 1991.1-2010.12 that is suitable for generating forecasts of the real price of oil from a variety of models.
Over the past 10 years, financial firms have increased the size of their positions in the oil futures market. At the same time, oil prices have increased dramatically.
We address some of the key questions that arise in forecasting the price of crude oil. What do applied forecasters need to know about the choice of sample period and about the tradeoffs between alternative oil price series and model specifications?
We estimate a New Keynesian general-equilibrium open economy model to examine how changes in oil prices affect the macroeconomy. Our model allows oil price changes to be transmitted through temporary demand and supply channels (affecting the output gap), as well as through persistent supply side effects (affecting trend growth).
The dramatic reduction in global demand, and the decline in the spot price of crude oil in the second half of last year, may have significant implications for the future supply of oil. Investments in conventional methods of extraction have been constrained, since easily accessible oil reserves are typically concentrated in countries with geopolitical uncertainty and/or state-run oil companies.
The authors test the statistical significance of Pindyck's (1999) suggested class of econometric equations that model the behaviour of long-run real energy prices.
The effects of global energy-price shocks on retail energy prices in Canada are examined. More specifically, the author looks at the response of the consumer price indexes for gasoline, heating oil, natural gas, and electricity in Canada to movements in world crude oil prices.