In this paper we investigate the multi-period forecast performance of a number of empirical self-exciting threshold autoregressive (SETAR) models that have been proposed in the literature for modelling exchange rates and GNP, among other variables. We take each of the empirical SETAR models in turn
β¦ LIBER β¦
The performance of alternative forecasting methods for SETAR models
β Scribed by Michael P. Clements; Jeremy Smith
- Book ID
- 114174977
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 847 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0169-2070
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## Abstract In recent years there has been a growing interest in exploiting potential forecast gains from the nonβlinear structure of selfβexciting threshold autoregressive (SETAR) models. Statistical tests have been proposed in the literature to help analysts check for the presence of SETARβtype n
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