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What do we learn from the price of crude oil futures?

dc.contributor.authorAlquist, Ronen_US
dc.contributor.authorKilian, Lutzen_US
dc.date.accessioned2010-06-02T19:49:51Z
dc.date.available2011-03-01T16:26:45Zen_US
dc.date.issued2010-06en_US
dc.identifier.citationAlquist, Ron; Kilian, Lutz (2010). "What do we learn from the price of crude oil futures?." Journal of Applied Econometrics 25(4): 539-573. <http://hdl.handle.net/2027.42/75776>en_US
dc.identifier.issn0883-7252en_US
dc.identifier.issn1099-1255en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/75776
dc.description.abstractDespite their widespread use as predictors of the spot price of oil, oil futures prices tend to be less accurate in the mean-squared prediction error sense than no-change forecasts. This result is driven by the variability of the futures price about the spot price, as captured by the oil futures spread. This variability can be explained by the marginal convenience yield of oil inventories. Using a two-country, multi-period general equilibrium model of the spot and futures markets for crude oil we show that increased uncertainty about future oil supply shortfalls under plausible assumptions causes the spread to decline. Increased uncertainty also causes precautionary demand for oil to increase, resulting in an immediate increase in the real spot price. Thus the negative of the oil futures spread may be viewed as an indicator of fluctuations in the price of crude oil driven by precautionary demand. An empirical analysis of this indicator provides evidence of how shifts in the uncertainty about future oil supply shortfalls affect the real spot price of crude oil. Copyright © 2010 John Wiley & Sons, Ltd.en_US
dc.format.extent295317 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherJohn Wiley & Sons, Ltd.en_US
dc.subject.otherBusiness, Finance & Managementen_US
dc.titleWhat do we learn from the price of crude oil futures?en_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelEconomicsen_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbtoplevelBusinessen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Economics, University of Michigan, Ann Arbor, MI, USA ; CEPR, London, UK ; Department of Economics, University of Michigan, 611 Tappan St, Ann Arbor, MI 48109, USA.en_US
dc.contributor.affiliationotherInternational Department, Bank of Canada, Ottawa, Canadaen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/75776/1/1159_ftp.pdf
dc.identifier.doi10.1002/jae.1159en_US
dc.identifier.sourceJournal of Applied Econometricsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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