 Correlation cascades, ergodic properties and long memory of infinitely divisible processesStochastic Processes and their Applications, 2009, vol. 119, issue 10, 3416-3434 Abstract: In this paper, we investigate the properties of the recently introduced measure of dependence called correlation cascade. We show that the correlation cascade is a promising tool for studying the dependence structure of infinitely divisible processes. We describe the ergodic properties (ergodicity, weak mixing, mixing) of stationary infinitely divisible processes in the language of the correlation cascade and establish its relationship with the codifference. Using the correlation cascade, we investigate the dependence structure of four fractional [alpha]-stable stationary processes. We detect the property of long memory and verify the ergodic properties of the discussed processes. Keywords: Correlation; cascade; Infinitely; divisible; process; Ergodicity; Weak; mixing; Mixing; Long; memory; Stable; distribution; Fractional; Ornstein-Uhlenbeck; process (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:spapps:v:119:y:2009:i:10:p:3416-3434 Ordering information: This journal article can be ordered from Access Statistics for this article Stochastic Processes and their Applications is currently edited by T. Mikosch More articles in Stochastic Processes and their Applications from Elsevier |
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