Two methods of dimensionality reduction of multivariate stationary time series are analyzed: Pena-Box’s methodology in the time domain and Brillinger’s methodology in the frequency domain. Two failures of Pena-Box’s methodology were found, and their corrections are given. Also the two methods are compared regarding to their capacities to identify the number of latent factors by simulations and an empirical application.