Trend and cycle decomposition in nonlinear time series

In this work we derive the Beveridge-Nelson decomposition and the state space representation for multivariate (co)integrated time series subject to Markov switching in regime. Then we provide explicit matrix expressions for the trend and cyclical components which improve computational performance since they are readily programmable. Further we develop impulse-response function analysis. Applications illustrate the feasibility of the proposed approach