This paper develops a formal framework based on multivariate spectral techniques for assesssing the performance of multivariate dynamic models whose solution is approximated through simulation. The approach is especially suitable for models that focus on a particular frequency range , such as...

The paper deals with the problem of identifying stochastic unobserved two-component models, as in seasonal adjustment or trend-cycle decompositions. Solutions based on the properties of the unobserved component estimation error are considered, and analytical expressions for the variances and...

This paper presents the Banco de Espana's experience in the filed of monitoring the main monetary and financial magnitudes, describing the various methodological aspects that lead a central bank to use seasonally adjusted series in monetary monitoring and analysis.