A limit theorem for moving averages in the \alpha -stable domain of attraction
Bojan Basrak, Danijel Krizmani\'c

TL;DR
This paper proves a functional limit theorem for regularly varying moving average processes with less restrictive coefficient conditions in the lpha-stable domain of attraction, extending earlier results by Avram and Taqqu.
Contribution
It provides a proof confirming the conjecture that the limit theorem holds under weaker coefficient assumptions in a different topology.
Findings
Established the functional limit theorem under less restrictive conditions
Extended the class of moving average processes satisfying the limit theorem
Confirmed the conjecture posed by Avram and Taqqu
Abstract
In the early 1990's, Avram and Taqqu showed that regularly varying moving average processes with all coefficients nonnegative and the tail index strictly between 0 and 2 satisfy functional limit theorem. They also conjectured that an equivalent statement holds under a certain less restrictive assumption on the coefficients, but in a different topology on the space of c\'adl\'ag functions. We give a proof of this result.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical Dynamics and Fractals · Stochastic processes and statistical mechanics · Stochastic processes and financial applications
