The spectral representation of Markov switching ARMA models
AbstractIn this paper we propose a method to derive the spectral density function of Markov switching ARMA models. We apply the Riesz-Fischer theorem which defines the spectral representation as the Fourier transform of the autocovariance functions.
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Bibliographic InfoArticle provided by Elsevier in its journal Economics Letters.
Volume (Year): 112 (2011)
Issue (Month): 1 (July)
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Web page: http://www.elsevier.com/locate/ecolet
Multivariate ARMA models Regime switching models Markov switching models Frequency domain;
Other versions of this item:
- Beatrice Pataracchia, 2008. "The Spectral Representation of Markov-Switching Arma Models," Department of Economics University of Siena 528, Department of Economics, University of Siena.
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
- E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
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