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A multi-dynamic-factor model for stock returns

dc.contributor.authorNg, Victor K.en_US
dc.contributor.authorEngle, Robert F.en_US
dc.contributor.authorRothschild, Michaelen_US
dc.date.accessioned2006-04-10T15:16:34Z
dc.date.available2006-04-10T15:16:34Z
dc.date.issued1992en_US
dc.identifier.citationNg, Victor, Engle, Robert F., Rothschild, Michael (1992)."A multi-dynamic-factor model for stock returns." Journal of Econometrics 52(1-2): 245-266. <http://hdl.handle.net/2027.42/30125>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6VC0-458298B-15/2/35d362de16c206e4214d3afd513447f9en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/30125
dc.description.abstractIn this paper, we define dynamic and static factors and distinguish between the dynamic and static structure of asset excess returns. We examine the value-weighted market portfolio as a dynamic factor and propose an intuitively appealing procedure to search for more dynamic factors. We find evidence that the market is a dynamic factor but a three-dynamic-factor model is superior in modelling the decile portfolios. The two additional factors are correlated with a January dummy and Bond risk premium and with production growth and a recession dummy, respectively. We found that small firms are more sensitive to the January/Bond risk factor, while large firms are more sensitive to the Production/Recession factor. We found that after accounting for the systematic risk corresponding to the three dynamic factors, there is not much of a static component of asset risk premium and there is no evidence for a higher `unexplained' return on small firm portfolios.en_US
dc.format.extent1349073 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleA multi-dynamic-factor model for stock returnsen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbsecondlevelEconomicsen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelBusinessen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumUniversity of Michigan, Ann Arbor, MI 48109-1234, USAen_US
dc.contributor.affiliationotherUniversity of California, San Diego, La Jolla, CA 92093-0508, USAen_US
dc.contributor.affiliationotherUniversity of California, San Diego, La Jolla, CA 92093-0508, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/30125/1/0000501.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0304-4076(92)90072-Yen_US
dc.identifier.sourceJournal of Econometricsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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