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dc.contributor.advisorKvaløy, Jan Terje
dc.contributor.authorMiller, Benjamin Vaag
dc.date.accessioned2023-06-24T15:51:17Z
dc.date.available2023-06-24T15:51:17Z
dc.date.issued2023
dc.identifierno.uis:inspera:135971486:69504903
dc.identifier.urihttps://hdl.handle.net/11250/3073022
dc.description.abstract
dc.description.abstractThe motivation for this thesis is to grasp general theory and principles for modeling time series, for the application to financial data. By going through the theory that makes up this field and bringing that perception to the implementation of modeling. To then evaluate the applicated models in their sense, and further draw conclusions from the data. The basis for this thesis will be the application of the ARMA model and the GARCH model to a transformation of the stock price for each day. The data is gathered from the closing price of Orkla AS, a company listed on the Oslo Stock Exchange (Oslo Børs).
dc.languageeng
dc.publisheruis
dc.titleTidserier for finansiell data
dc.typeBachelor thesis


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