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Using composite moving averages to forecast sales

Author

Listed:
  • D J Robb

    (The University of Auckland)

  • E A Silver

    (Faculty of Management, The University of Calgary)

Abstract

Combining moving averages has been suggested as a simple and practical means to improve sales forecasting. Here we present a natural extension whereby combinations of all possible moving averages up to a given number of periods are employed. We evaluate the method's performance relative to other methods, such as simple moving averages and exponentially-weighted moving averages, on two industrial data sets. Particular attention is placed on methods for selecting the number of periods employed, and on handling noisy data.

Suggested Citation

  • D J Robb & E A Silver, 2002. "Using composite moving averages to forecast sales," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(11), pages 1281-1285, November.
    • Handle: RePEc:pal:jorsoc:v:53:y:2002:i:11:d:10.1057_palgrave.jors.2601440
    DOI: 10.1057/palgrave.jors.2601440
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    Citations

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    Cited by:

    1. Hong Chen, 2010. "Using Financial and Macroeconomic Indicators to Forecast Sales of Large Development and Construction Firms," The Journal of Real Estate Finance and Economics, Springer, vol. 40(3), pages 310-331, April.
    2. F Caniato & M Kalchschmidt & S Ronchi, 2011. "Integrating quantitative and qualitative forecasting approaches: organizational learning in an action research case," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(3), pages 413-424, March.

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