Contemporaneous Threshold Autoregressive Models: Estimation, Testing and Forecasting

Michael Dueker, Martin Sola and Fabio Spagnolo

Discussion Papers from D.E.S. (Department of Economic Studies), University of Naples "Parthenope", Italy

Abstract: This paper proposes a contemporaneous smooth transition threshold autoregressive model (C-STAR) as a modification of the smooth transition threshold autoregressive model surveyed in Teräsvirta (1998), in which the regime weights depend on the ex ante probability that a latent regime-specific variable will exceed a threshold value. We argue that the contemporaneous model is well-suited to rational expectations applications (and pricing exercises), in that it does not require the initial regimes to be predetermined. We investigate the properties of the model and evaluate its finitesample maximum likelihood performance. We also propose a method to determine the number of regimes based on a modified Hansen (1992) procedure. Furthermore, we construct multiple-step ahead forecasts and evaluate the forecasting performance of the model. Finally, an empirical application of the short term interest rate yield is presented and discussed.

Keywords: Smooth Transition Threshold Autoregressive; Forecasting; Nonlinear Models (search for similar items in EconPapers)
JEL-codes: C22 E31 G12 (search for similar items in EconPapers)
Date: 2007-04-01
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Citations: View citations in EconPapers (26)

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Related works:
Journal Article: Contemporaneous threshold autoregressive models: Estimation, testing and forecasting (2007)
Working Paper: Contemporaneous threshold autoregressive models: estimation, testing and forecasting (2006)
Working Paper: Contemporaneous Threshold Autoregressive Models: Estimation, Testing and Forecasting (2006)
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