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Incorporating Leading Indicators into Sales Forecasts
Lancaster University Management School, United Kingdom.ORCID iD: 0000-0003-0211-5218
Faculty of Engineering and Architecture of Ghent University, Belgium.
2018 (English)In: Foresight: The International Journal of Applied Forecasting, ISSN 1555-9068, no 48, p. 24-30Article in journal (Refereed) Published
Abstract [en]

Using leading indicators for business forecasting-in contrast to macroeconomic forecasting-has been relatively rare, partly because our traditional time-series methods do not readily allow incorporation of external variables. Nowadays, however, we have an abundance of potentially useful indicators, and there is evidence that utilizing relevant ones in a forecasting model can significantly improve forecast accuracy and transparency. In this article, Nikolaos and Yves show how to find appropriate leading indicators and make good use of them for sales forecasting. 

Place, publisher, year, edition, pages
International Institute of Forecasters , 2018. no 48, p. 24-30
National Category
Probability Theory and Statistics Economics
Identifiers
URN: urn:nbn:se:his:diva-18277OAI: oai:DiVA.org:his-18277DiVA, id: diva2:1411577
Available from: 2020-03-04 Created: 2020-03-04 Last updated: 2021-01-07Bibliographically approved

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Kourentzes, Nikolaos

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