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The M5: A Preview from Prior Competitions

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  • Casper Bojer
  • Jens Peder Meldgaard

Abstract

The M5 competition, in progress with more than 25,000 participants-a very dramatic increase from the 49 competitors in the M4-will address many criticisms of the relevance of forecasting competitions to the business world. Now, participating forecasters will be developing models to forecast high-frequency data (daily and weekly buckets, including many intermittent series) that are organized into a detailed product hierarchy of Walmart retail sales and with real-time information provided on external variables and events: in short, a big leap from the M4 toward the realities of business-forecasting challenges. In this article, Casper Bojer and Jens Peder Meldgaard from Aalborg University in Denmark highlight key results of six prior competitions as a foretaste of what we can expect to learn from the M5.

Suggested Citation

  • Casper Bojer & Jens Peder Meldgaard, 2020. "The M5: A Preview from Prior Competitions," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 58, pages 17-23, Summer.
    • Handle: RePEc:for:ijafaa:y:2020:i:58:p:17-23/
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    Cited by:

    1. In, YeonJun & Jung, Jae-Yoon, 2022. "Simple averaging of direct and recursive forecasts via partial pooling using machine learning," International Journal of Forecasting, Elsevier, vol. 38(4), pages 1386-1399.

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