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dc.contributor.advisorUllah, Habib
dc.contributor.authorHuse, Anders
dc.contributor.editorFrausig, Jesper
dc.coverage.spatialNorwayen_US
dc.date.accessioned2022-07-07T07:44:26Z
dc.date.available2022-07-07T07:44:26Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/11250/3003365
dc.description.abstractIn this thesis we explore and provide promising evidence about whether foreign investors have an oversimplified and naive view of the Norwegian equity market. Additionally, results may suggest that some financial factors, especially commodity prices, have a disproportional effect on the Norwegian equity market compared to foreign equity markets. A new variation of a classical pairs trading framework aided by the field of machine learning is used to explore the nuances of the Norwegian equity market, and how one may be able to profit on these. Results suggest that the strategy performance is closely related to market volatility.en_US
dc.language.isoengen_US
dc.publisherNorwegian University of Life Sciences, Åsen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleExploring nuances in the Norwegian equity market using pairs tradingen_US
dc.typeMaster thesisen_US
dc.source.pagenumber107en_US
dc.description.localcodeM-IØen_US


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Med mindre annet er angitt, så er denne innførselen lisensiert som Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal