Fractionally Integrated Moving Average Stable Processes With Long-Range Dependence
Abstract
Long memory processes driven by L\'evy noise with finite second-order moments have been well studied in the literature. They form a very rich class of processes presenting an autocovariance function which decays like a power function. Here, we study a class of L\'evy process whose second-order moments are infinite, the so-called -stable processes. Based on Samorodnitsky and Taqqu (2000), we construct an isometry that allows us to define stochastic integrals concerning the linear fractional stable motion using Riemann-Liouville fractional integrals. With this construction, follows naturally an integration by parts formula. We then present a family of stationary processes with the property of long-range dependence, using a generalized measure to investigate its dependence structure. In the end, the law of large number's result for a time's sample of the process is shown as an application of the isometry and integration by parts formula.
Cite
@article{arxiv.2011.06067,
title = {Fractionally Integrated Moving Average Stable Processes With Long-Range Dependence},
author = {G. L. Feltes and S. R. C. Lopes},
journal= {arXiv preprint arXiv:2011.06067},
year = {2022}
}