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Quantitative Time Series Analysis: A Sales Forecast Study of TeliaSonera
Uppsala University, Humanistisk-samhällsvetenskapliga vetenskapsområdet, Faculty of Social Sciences, Department of Business Studies.
2006 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This study examines the applicability and accuracy of quantitative time series methods, with a focus on extrapolation techniques. TeliaSonera’s quarterly net sales figures from the company’s interim reports were used as a time series sample and forecasts tests were made. A combined forecast was derived from all the used techniques to test a hypothesis whether an error reduction was achieved. Combined forecasts of quantitative time series methods (extrapolation) turned out to be highly applicable for forecasting in a short time horizon as they reduced forecast error in 83 % of the time. Keywords: Strategy, Forecasting, Quantitative Time Series Analysis

Place, publisher, year, edition, pages
Uppsala: Företagsekonomiska institutionen , 2006. , 40 p.
Keyword [en]
Strategy, Forecasting, Quantitative Time Series Analysis
National Category
Economics and Business
URN: urn:nbn:se:uu:diva-8956OAI: oai:DiVA.org:uu-8956DiVA: diva2:132006
Available from: 2008-05-06 Created: 2008-05-06

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