On SETAR non- linearity and forecasting
We consider the usefulness of the two-regime SETAR model for out-of-sample forecasting, and compare it with a linear AR model. A range of newly-developed forecast evaluation techniques are employed. Our simulation results show that time-series data need to exhibit a substantial degree of non-linearity before the SETAR model is favoured on some of these criteria. We find only weak evidence that a SETAR model of US GNP provides more accurate forecasts than a linear AR model.
|Keywords||SETAR model, linear AR model, out-of-sample forecasting|
Clements, M.P., Franses, Ph.H.B.F., & Smith, J.. (1999). On SETAR non- linearity and forecasting (No. EI 9914-/A). Retrieved from http://hdl.handle.net/1765/1567
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