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A general approach to recovering market expectations from futures prices with an application to crude oil

  • Futures markets are a potentially valuable source of information about market expectations. Exploiting this information has proved difficult in practice, because the presence of a time-varying risk premium often renders the futures price a poor measure of the market expectation of the price of the underlying asset. Even though the expectation in principle may be recovered by adjusting the futures price by the estimated risk premium, a common problem in applied work is that there are as many measures of market expectations as there are estimates of the risk premium. We propose a general solution to this problem that allows us to uniquely pin down the best possible estimate of the market expectation for any set of risk premium estimates. We illustrate this approach by solving the long-standing problem of how to recover the market expectation of the price of crude oil. We provide a new measure of oil price expectations that is considerably more accurate than the alternatives and more economically plausible. We discuss implications of our analysis for the estimation of economic models of energy-intensive durables, for the debate on speculation in oil markets, and for oil price forecasting.

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Metadaten
Verfasserangaben:Christiane BaumeisterORCiDGND, Lutz KilianGND
URN:urn:nbn:de:hebis:30:3-349023
URL:http://ssrn.com/abstract=2499484
DOI:https://doi.org/10.2139/ssrn.2499484
Schriftenreihe (Bandnummer):CFS working paper series (466)
Verlag:Center for Financial Studies
Verlagsort:Frankfurt, M.
Dokumentart:Arbeitspapier
Sprache:Englisch
Jahr der Fertigstellung:2014
Jahr der Erstveröffentlichung:2014
Veröffentlichende Institution:Universitätsbibliothek Johann Christian Senckenberg
Datum der Freischaltung:29.09.2014
Freies Schlagwort / Tag:forecast; futures; market expectation; model uncertainty; oil price; risk premium
Ausgabe / Heft:Version 13 September 2014
Seitenzahl:58
HeBIS-PPN:351154329
Institute:Wirtschaftswissenschaften / Wirtschaftswissenschaften
Wissenschaftliche Zentren und koordinierte Programme / Center for Financial Studies (CFS)
DDC-Klassifikation:3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
JEL-Klassifikation:C Mathematical and Quantitative Methods / C5 Econometric Modeling / C53 Forecasting and Other Model Applications
Sammlungen:Universitätspublikationen
Lizenz (Deutsch):License LogoDeutsches Urheberrecht