Q43 - Energy and the Macroeconomy

• Are There Gains from Pooling Real-Time Oil Price Forecasts?

  Staff Working Paper 2014-46 Christiane Baumeister, Lutz Kilian, Thomas K. Lee

  The answer as to whether there are gains from pooling real-time oil price forecasts depends on the objective. The approach of combining five of the leading forecasting models with equal weights dominates the strategy of selecting one model and using it for all horizons up to two years.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C53, Q, Q4, Q43

• What Does the Convenience Yield Curve Tell Us about the Crude Oil Market?

  Staff Working Paper 2014-42 Ron Alquist, Gregory Bauer, Antonio Diez de los Rios

  Using the prices of crude oil futures contracts, we construct the term structure of crude oil convenience yields out to one-year maturity. The crude oil convenience yield can be interpreted as the interest rate, denominated in barrels of oil, for borrowing a single barrel of oil, and it measures the value of storing crude oil over the borrowing period.

  Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, International topics JEL Code(s): C, C5, C53, G, G1, G12, G13, Q, Q4, Q43
• May 13, 2014

  The Art and Science of Forecasting the Real Price of Oil

  Bank of Canada Review - Spring 2014 Christiane Baumeister

  Forecasts of the price of crude oil play a significant role in the conduct of monetary policy, especially for commodity producers such as Canada. This article presents a range of recently developed forecasting models that, when pooled together, can generate, on average, more accurate forecasts of the price of oil than the oil futures curve. It also illustrates how policy-makers can evaluate the risks associated with the baseline oil price forecast and how they can determine the causes of past oil price fluctuations.

  Content Type(s): Publications, Bank of Canada Review articles Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C53, E, E3, E32, Q, Q4, Q43

• Do High-Frequency Financial Data Help Forecast Oil Prices? The MIDAS Touch at Work

  Staff Working Paper 2014-11 Christiane Baumeister, Pierre Guérin, Lutz Kilian

  The substantial variation in the real price of oil since 2003 has renewed interest in the question of how to forecast monthly and quarterly oil prices. There also has been increased interest in the link between financial markets and oil markets, including the question of whether financial market information helps forecast the real price of oil in physical markets.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C53, G, G1, G14, Q, Q4, Q43