Acta Oeconomica Pragensia 2007, 15(1):63-70 | DOI: 10.18267/j.aop.39
Spectral Properties of Stationary Models
- Doc. RNDr. Luboš Marek, CSc.; Katedra statistiky a pravděpodobnosti, Fakulta informatiky a statistiky, VŠE v Praze, marek@vse.cz
The content of this paper is characterization the spectral properties of stationary models - namely autoregression model AR(p), model of moving averages MA(q) and mixed models ARMA(p,q). There is the clear relationship between spectral density and autocorrelation function of these stationary models. The spectrum has the typical shape for different models. This shape depends on sign of parameters. On other side, from shape of spectrum we cannot derive the accurate type of model, because the different models have the similar shape of spectrum. But the shape of spectrum is very important complementary information that can through many things prompt.
Keywords: stationary models, spectral density, spectrum
JEL classification: G30
Published: February 1, 2007 Show citation
References
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- MAREK, L., 1999: Fourier Analysis. In Acta Oeconomica Pragensia, 1999, roč. 7, č. 4, s. 107-118.
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