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Decomposition By Causal Forces: A Procedure For Forecasting Complex Time Series, J. Scott Armstrong, Fred Collopy, J. Thomas Yokum
Decomposition By Causal Forces: A Procedure For Forecasting Complex Time Series, J. Scott Armstrong, Fred Collopy, J. Thomas Yokum
J. Scott Armstrong
Causal forces are a way of summarizing forecasters' expectations about what will happen to a time series in the future. Contrary to the common assumption for extrapolation, time series are not always subject to consistent forces that point in the same direction. Some are affected by conflicting causal forces; we refer to these as complex times series. It would seem that forecasting these times series would be easier if one could decompose the series to eliminate the effects of the conflicts. Given forecasts subject to high uncertainty, we hypothesized that a time series could be effectively decomposed under two conditions: …