Abstract
Linear combination is a common feature of most methods designed to aggregate a set of time series into a composite index. In this paper the principal components approach is utilized by means of spectral techniques to improve the variance explained by the first principal component. The optimality criterion resorts to the alignment of the elements of the vector time series.
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