A note on the computation of time series model roots
The roots of time series models are important for analysing model dynamics and have a special importance in the unit root and co-integration literature. In this paper known results about the equivalence of state space and auto-regressive moving-average (ARMA) models are exploited to give better calculations of VAR and ARMA model roots. The improved computational accuracy is illustrated with an especially difficult example.