Stationarity of Multivariate Markov-Switching ARMA Models
By Christian Francq, Jean-Michel Zakoian. 2001
245 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/4a313e011f41f30785644cbab9acd597e9aab8e9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Frank J Fabozzi 3
- Svetlozar T. Rachev
- C. Leung
- M. Solá
- Fabio Spagnolo
- Jan S. Henneke
- Kuang-Liang Chang
- Metodi Nikolov
In Finance
- Frank J Fabozzi 3
- Svetlozar T. Rachev
- C. Leung
- Jan S. Henneke
- M. Solá
- Kuang-Liang Chang
- Metodi Nikolov
- Nan Chen
In Statistics and Probability
- Jan S. Henneke
- Svetlozar T. Rachev
- Kuang-Liang Chang
- Metodi Nikolov
- Nan Chen
- C. Leung
- Frank J Fabozzi 3
- Zacharias Psaradakis
Citations in the corpus
- MCMC-based estimation of Markov Switching ARMA–GARCH models (2011, methodology): “A lot of attention is directed towards these models at the moment and other research, such as that of Francq and Zakoian (2001), has established important results regarding the conditions for stationarity or the tail behaviour of these models.”
- Monetary Policy, Term Structure and Asset Return: Comparing REIT, Housing and Stock (2011, methodology): “13 It includes the Hamilton (1989) regime switching model, and the test on the stationarity test for regime-switching model developed by Francq and Zakoian (2001) .”
- Testing the unbiased forward exchange rate hypothesis using a Markov switching model and instrumental variables (2003, background): “Since {st} and {ft} are typically found in practice to be best described as integrated processes of order one which cointegrate with cointegrating parameter unity, (4)—(5) are often expressed as”