Quantitative Time Series Analysis: A Sales Forecast Study of TeliaSonera
Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
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.
Strategy, Forecasting, Quantitative Time Series Analysis
Economics and Business
IdentifiersURN: urn:nbn:se:uu:diva-8956OAI: oai:DiVA.org:uu-8956DiVA: diva2:132006