A descriptive method to evaluate the number of regimes in a switching autoregressive model

This paper proposes a descriptive method for an open problem in time series analysis: determining the number of regimes in a switching autoregressive model. We will translate this problem into a classification one and define a criterion for hierarchically clustering different model fittings. Finally, the method will be tested on simulated examples and real-life data.