Damped trend exponential smoothing: A modelling viewpoint

Edward Mckenzie, Everette S. Gardner Jr

Research output: Contribution to journalArticlepeer-review

36 Citations (Scopus)


Over the past twenty years, damped trend exponential smoothing has performed well in numerous empirical studies, and it is now well established as an accurate forecasting method. The original motivation for this method was intuitively appealing, but said very little about why or when it provided an optimal approach. The aim of this paper is to provide a theoretical rationale for the damped trend method based on Brown's original thinking about the form of underlying models for exponential smoothing. We develop a random coefficient state space model for which damped trend smoothing provides an optimal approach, and within which the damping parameter can be interpreted directly as a measure of the persistence of the linear trend.
Original languageEnglish
Pages (from-to)661-665
Number of pages5
JournalInternational Journal of Forecasting
Issue number4
Publication statusPublished - Dec 2010


  • time series
  • state space models
  • ARIMA models
  • exponential smoothing


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