In conclusion, the specification of the local models in a global VAR as regime-switching is an appealing option, but as the empirical application here has illustrated it requires an appropriate context. The regime-switching models examinated are associated with some undesirable features, such as explosiveness and identification of regimes that lack economic interpretations. However, this does not disprove the usefulness of regime-switching models, both with and without time-varying switching probabilities, but merely that they did not perform adequately in the given setting. The basic global VAR model used in most previous applications does not, for natural reasons, make any inference regarding possible underlying states, but it is not subject to explosiveness and is decent with respect to forecasting. Thus, the empirical application highlights one thing in particular, considering that previous studies have in fact shown that regime-switching models are useful in some contexts: namely, that the aggregation of models that occurs in creating the global model requires the local models to be well-specified in the sense that they not only act appropriately on the local level, but also together on the global level. This may or may not be possible, and what this means in terms of altering the models in this paper with respect to variable selection, lags and number of states will require further investigation.