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Forecasting, Foresight and Strategic Planning for Black Swans

Author

Listed:
  • Kostas Nikolopoulos

    (Bangor University)

  • F. Petropoulos

    (Cardiff University Business School)

Abstract

In this research essay we propose a methodological innovation through: a) advocating for the broader use of OR forecasting tools and in specific intermittent demand estimators for forecasting black and grey swans, as a simpler, faster and quite robust alternative to econometric probabilistic methods like EVT; b) demonstrating the use in such a context of a rather popular forecasting paradigm: the Naive method (forecasting short horizons) and the SBA method (foresight long horizons) through the ADIDA non-overlapping temporal aggregation method-improving framework, and c) arguing for a new way for deciding the strategic planning horizon for phenomena prone to the appearance of black and grey swans.

Suggested Citation

  • Kostas Nikolopoulos & F. Petropoulos, 2015. "Forecasting, Foresight and Strategic Planning for Black Swans," Working Papers 15003, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    • Handle: RePEc:bng:wpaper:15003
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    File URL: http://www.bangor.ac.uk/business/research/documents/BBSWP-15-03.pdf
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    References listed on IDEAS

    as
    1. A A Syntetos & J E Boylan & J D Croston, 2005. "On the categorization of demand patterns," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(5), pages 495-503, May.
    2. Syntetos, A. A. & Boylan, J. E., 2001. "On the bias of intermittent demand estimates," International Journal of Production Economics, Elsevier, vol. 71(1-3), pages 457-466, May.
    3. Syntetos, Aris A. & Zied Babai, M. & Gardner, Everette S., 2015. "Forecasting intermittent inventory demands: simple parametric methods vs. bootstrapping," Journal of Business Research, Elsevier, vol. 68(8), pages 1746-1752.
    4. Willemain, Thomas R. & Smart, Charles N. & Schwarz, Henry F., 2004. "A new approach to forecasting intermittent demand for service parts inventories," International Journal of Forecasting, Elsevier, vol. 20(3), pages 375-387.
    5. K Nikolopoulos & A A Syntetos & J E Boylan & F Petropoulos & V Assimakopoulos, 2011. "An aggregate–disaggregate intermittent demand approach (ADIDA) to forecasting: an empirical proposition and analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(3), pages 544-554, March.
    6. Petropoulos, Fotios & Makridakis, Spyros & Assimakopoulos, Vassilios & Nikolopoulos, Konstantinos, 2014. "‘Horses for Courses’ in demand forecasting," European Journal of Operational Research, Elsevier, vol. 237(1), pages 152-163.
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    Cited by:

    1. Babai, Zied & Boylan, John E. & Kolassa, Stephan & Nikolopoulos, Konstantinos, 2016. "Supply chain forecasting: Theory, practice, their gap and the futureAuthor-Name: Syntetos, Aris A," European Journal of Operational Research, Elsevier, vol. 252(1), pages 1-26.

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    More about this item

    Keywords

    Forecasting; Black Swans; Intermittent Demand; Temporal Aggregation; Forecasting Horizon;
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