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Improving forecasting via multiple temporal aggregation

Research output: Contribution to journalJournal articlepeer-review

Published
<mark>Journal publication date</mark>2014
<mark>Journal</mark>Foresight: The International Journal of Applied Forecasting
Issue number34
Volume2014
Number of pages6
Pages (from-to)12-17
Publication StatusPublished
<mark>Original language</mark>English

Abstract

In most business forecasting applications, the decision-making need we have directs the frequency of the data we collect (monthly, weekly, etc.) and use for forecasting. In this article we introduce an approach that combines forecasts generated by modeling the different frequencies (levels of temporal aggregation). Their technique augments our information about the data used for forecasting and, as such, can result in more accurate forecasts. It also automatically reconciles the forecasts at different levels.