On non-contemporaneous short-run co-movements

This paper proposes the notion of polynomial serial correlation common features as a measure of non-contemporaneous cyclical co-movements in multiple time series. Statistical inference within this modeling is easily performed by reduced rank regression. We show the implications of the PSCCF in terms of the Beveridge¯Nelson decomposition and we illustrate their relevance for empirical analyses.