IDEAS home Printed from https://ideas.repec.org/a/for/ijafaa/y2021i60p33-37.html
   My bibliography  Save this article

The M5 Competition and the Future of Human Expertise in Forecasting

Author

Listed:
  • Spyros Makridakis
  • Evangelos Spiliotis

Abstract

The M5 forecasting competition is the latest and most widely contested since the first M competition in 1979. Numerous articles have been written appraising the structure of the competitions and the value of their results for forecasting methodology and practice. Mike Gilliland's discussion of the prior competition-the M4-in Foresight's Spring 2020 issue as well as Casper Bojer and Jens Peter Meldgaard's preview of the M5 in our Summer 2020 issue offer nontechnical overviews of these most recent forecasting competitions and their potential influence on the ways we forecast. Other background information on the competitions can be found at https://mofc.unic.ac.cy/. As there was with the M4, there will be a special issue of the International Journal of Forecasting-our sister IIF publication-devoted to a comprehensive assessment of the M5. The preprint "The M5 Accuracy Competition: Results, Findings, and Conclusions" provides a detailed discussion of the participants, methods, and results: https://www.researchgate.net/publication/344487258. Here, Spyros Makridakis, creator and overseer of the M forecasting competitions (and the person for whom they are named), and Evangelos Spiliotis, his closest collaborator, distill that initial report on the M5 to highlight the winning entries and what they say about the value of expertise in forecast modeling. Copyright International Institute of Forecasters, 2021

Suggested Citation

  • Spyros Makridakis & Evangelos Spiliotis, 2021. "The M5 Competition and the Future of Human Expertise in Forecasting," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 60, pages 33-37, Winter.
    • Handle: RePEc:for:ijafaa:y:2021:i:60:p:33-37
    as

    Download full text from publisher

    File URL: https://foresight.forecasters.org/bookstore/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Januschowski, Tim & Wang, Yuyang & Torkkola, Kari & Erkkilä, Timo & Hasson, Hilaf & Gasthaus, Jan, 2022. "Forecasting with trees," International Journal of Forecasting, Elsevier, vol. 38(4), pages 1473-1481.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:for:ijafaa:y:2021:i:60:p:33-37. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Michael Gilliland (email available below). General contact details of provider: https://edirc.repec.org/data/iiforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.