ABSTRACT
Unlike the vector autoregressions seen in Section 2.5, multivariate UCM are not able to model (Granger) causalities among time series because, unless otherwise specified, they do not include lagged endogenous variables on the right side of the equal sign. However, they are particularly fit to extract common features, such as common trends, cycles or seasonal components from a panel of time series.
