期刊
INTERNATIONAL JOURNAL OF FORECASTING
卷 25, 期 1, 页码 103-118出版社
ELSEVIER
DOI: 10.1016/j.ijforecast.2008.09.007
关键词
Singular spectrum analysis; ARIMA; Holt-Winters' method; Forecasting; European industrial production series
In this paper, the performance of the Singular Spectrum Analysis (SSA) technique is assessed by applying it to 24 series measuring the monthly seasonally unadjusted industrial production for important sectors of the German, French and UK economies. The results are compared with those obtained using the Holt-Winters' and ARIMA models. All three methods perform similarly in short-term forecasting and in predicting the direction of change (DC). However, at longer horizons, SSA significantly outperforms the ARIMA and Holt-Winters' methods. (C) 2008 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved.
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