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dc.contributor.advisorWestgaard, Sjurnb_NO
dc.contributor.authorReiakvam, Oddvar Hallsetnb_NO
dc.contributor.authorThyness, Stian Borgennb_NO
dc.date.accessioned2014-12-19T14:27:51Z
dc.date.available2014-12-19T14:27:51Z
dc.date.created2012-01-19nb_NO
dc.date.issued2011nb_NO
dc.identifier480284nb_NO
dc.identifierntnudaim:6375nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/265983
dc.description.abstractThis paper applies various ways of constructing statistical arbitrage trading rules for aluminum securities. The paper use daily observations of stocks, futures and two securities supposed to mirror the return of physical aluminum. We employ several sophisticated analysis of thestatistical properties of these securities and how they relate to each other. This paper appliesEngle-Granger and Johansen tests for cointegration to identify suitable securities for pairstrading. The paper is useful for speculators and hedge fund managers who want to increase theirrisk adjusted returns, as our analysis shows that trading sector neutral positions instead ofholding passive long positions in aluminum securities have significantly higher risk adjustedreturns. Our methodology is not unique for aluminum and can be transferred to other areas suchas oil or precious metals.nb_NO
dc.languageengnb_NO
dc.publisherInstitutt for industriell økonomi og teknologiledelsenb_NO
dc.subjectntnudaim:6375no_NO
dc.subjectMTIØT Industriell økonomi og teknologiledelseno_NO
dc.subjectno_NO
dc.titlePairs Trading in the Aluminum Market: A Cointegration Approachnb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber80nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for samfunnsvitenskap og teknologiledelse, Institutt for industriell økonomi og teknologiledelsenb_NO


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