Dueker, M.J. and Psaradakis, Zacharias and Sola, Martin and Spagnolo, F. (2011) Multivariate contemporaneous-threshold autoregressive models☆. Journal of Econometrics 160 (2), pp. 311-325. ISSN 0304-4076.
Abstract
This paper proposes a contemporaneous-threshold multivariate smooth transition autoregressive (C-MSTAR) model in which the regime weights depend on the ex-ante probabilities that latent regime-specific variables exceed certain threshold values. A key feature of the model is that the transition function depends on all the parameters of the model as well as on the data. Since the mixing weights are also a function of the regime-specific noise covariance matrix, the model can account for contemporaneous regime-specific co-movements of the variables. The stability and distributional properties of the proposed model are discussed, as well as issues of estimation, testing and forecasting. The practical usefulness of the C-MSTAR model is illustrated by examining the relationship between US stock prices and interest rates.
Metadata
| Item Type: | Article |
|---|---|
| Keyword(s) / Subject(s): | Nonlinear autoregressive model, smooth transition, stability, threshold |
| School: | Birkbeck Faculties and Schools > Faculty of Business and Law > Birkbeck Business School |
| Research Centres and Institutes: | Applied Macroeconomics, Birkbeck Centre for |
| Depositing User: | Administrator |
| Date Deposited: | 28 Jan 2011 11:48 |
| Last Modified: | 02 Aug 2023 16:54 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/3001 |
Statistics
Additional statistics are available via IRStats2.
Archive Staff Only (login required)
