A View of Damped Trend as Incorporating a Tracking Signal into a State Space Model

Ralph D. Snyder () and Anne B. Koehler

No 7/08, Monash Econometrics and Business Statistics Working Papers from Monash University, Department of Econometrics and Business Statistics

Abstract: Damped trend exponential smoothing has previously been established as an important forecasting method. Here, it is shown to have close links to simple exponential smoothing with a smoothed error tracking signal. A special case of damped trend exponential smoothing emerges from our analysis, one that is more parsimonious because it effectively relies on one less parameter. This special case is compared with its traditional counterpart in an application to the annual data from the M3 competition and is shown to be quite competitive.

Keywords: Exponential smoothing; monitoring forecasts; structural change; adjusting forecasts; state space models; damped trend (search for similar items in EconPapers)
JEL-codes: C32 C44 C53 (search for similar items in EconPapers)
Pages: 9 pages
Date: 2008-09
New Economics Papers: this item is included in nep-ecm, nep-ets and nep-for
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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