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Decomposition of discrete time periodically correlated and multivariate stationary symmetric stable processes

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  • Soltani, A.R.
  • Parvardeh, A.

Abstract

The spectral structure of discrete time periodically correlated (as well as multivariate stationary) symmetric [alpha]-stable processes is identified by decomposing such a process uniquely in distribution into one sum of three mutually independent periodically correlated (multivariate stationary) stable processes that are classified as mixed moving average, harmonizable and of a third kind. The techniques are based on presenting the flow and its cocycle that govern the spectral representation of the process, using the Hopf decomposition and specifying the harmonizable component.

Suggested Citation

  • Soltani, A.R. & Parvardeh, A., 2005. "Decomposition of discrete time periodically correlated and multivariate stationary symmetric stable processes," Stochastic Processes and their Applications, Elsevier, vol. 115(11), pages 1838-1859, November.
    • Handle: RePEc:eee:spapps:v:115:y:2005:i:11:p:1838-1859
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    References listed on IDEAS

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    1. Hardin, Clyde D., 1982. "On the spectral representation of symmetric stable processes," Journal of Multivariate Analysis, Elsevier, vol. 12(3), pages 385-401, September.
    2. Pipiras, Vladas & Taqqu, Murad S. & Abry, Patrice, 2003. "Can continuous-time stationary stable processes have discrete linear representations?," Statistics & Probability Letters, Elsevier, vol. 64(2), pages 147-157, August.
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