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arXiv · 2609.03728

Moments for self-normalized partial sums

Muneya Matsui·Thomas Mikosch·Olivier Wintenberger
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Abstract

We consider a regularly varying stationary sequence of random variables (Xt) with tail index ___ < 2. For these sequences we study the joint convergence of sums, `p- type moduli and maxima. We focus on ratio statistics, including the studentized sums and sums normalized by the corresponding maxima, and study the existence of moments for the limit ratios. We consider particular examples of processes (Xt) whose limit ratios possess all moments. But, in contrast to the latter situation, there also exist sequences (Xt) where certain moments of the limit ratio are in___nite. This phenomenon results from extremal clusters in the sequence.

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Muneya Matsui, Thomas Mikosch, Olivier Wintenberger. 2026-09-03. Moments for self-normalized partial sums. https://arxiv.org/abs/2609.03728

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