A general approach to recovering market expectations from futures prices with an application to crude oil / by Christiane Baumeister and Lutz Kilian. : FB3-5/2016-18E-PDF

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.

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Renseignements sur la publication
Ministère/Organisme Bank of Canada.
Titre A general approach to recovering market expectations from futures prices with an application to crude oil / by Christiane Baumeister and Lutz Kilian.
Titre de la série Staff Working Paper, 1701-9397 ; 2016-18
Type de publication Série - Voir l'enregistrement principal
Langue [Anglais]
Format Électronique
Document électronique
Note(s) "April 2016."
Includes bibliographical references (p. 24-27).
Information sur la publication [Ottawa] : Bank of Canada, 2016.
Auteur / Contributeur Baumeister, Christiane.
Kilian, Lutz.
Description iii, 35, 10 p. : fig., tables
Numéro de catalogue
  • FB3-5/2016-18E-PDF
Descripteurs Markets
Petroleum
Prices
Statistical analysis
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