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A General Approach to Recovering Market Expectations from Futures Prices with an Application to Crude Oil

Author

Listed:
  • Christiane Baumeister
  • Lutz Kilian
Abstract
Futures markets are a potentially valuable source of information about price expectations. Exploiting this information has proved difficult in practice, because time-varying risk premia often render the futures price a poor measure of the market expectation of the price of the underlying asset. Although this expectation in principle may be recovered by adjusting the futures price by the estimated risk premium, a common problem is that there are as many measures of the market expectation as there are estimates of the risk premium. We propose a general solution to this problem that allows us to select the most accurate estimate of the expectation for any set of risk premium estimates. We illustrate this approach by solving the long-standing problem of how to estimate the market expectation of the price of crude oil. We provide a new measure of oil price expectations that is substantially more accurate than the alternatives and more economically plausible. Our analysis has implications for the estimation of economic models of energy-intensive durables, for oil price forecasting and for the measurement of oil price shocks.

Suggested Citation

  • Christiane Baumeister & Lutz Kilian, 2016. "A General Approach to Recovering Market Expectations from Futures Prices with an Application to Crude Oil," Staff Working Papers 16-18, Bank of Canada.
  • Handle: RePEc:bca:bocawp:16-18
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    References listed on IDEAS

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    More about this item

    Keywords

    Econometric and statistical methods; International topics;

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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