Why the damped trend works

Tools

Gardner Jr, E.S. and McKenzie, E. (2011) Why the damped trend works. Journal of the Operational Research Society, 62. pp. 1177-1180. ISSN 0160-5682 (https://doi.org/10.1057/jors.2010.37)

Full text not available in this repository.Request a copy

Abstract

The damped trend method of exponential smoothing is a benchmark that has been difficult to beat in empirical studies of forecast accuracy. One explanation for this success is the flexibility of the method, which contains a variety of special cases that are automatically selected during the fitting process. That is, when the method is fitted, the optimal parameters usually define a special case rather than the method itself. For example, in the M3-competition time series, the parameters defined the damped trend method only about 43% of the time using local initial values for the method components. In the remaining series, a special case was selected, ranging from a random walk to a deterministic trend. The most common special case was a new method, simple exponential smoothing with a damped drift term.

CORE (COnnecting REpositories)