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Asymptotic normality for a modified quadratic variation of the Hermite process

Probability 2023-04-24 v1

Abstract

We consider a modified quadratic variation of the Hermite process based on some well-chosen increments of this process. These special increments have the very useful property to be independent and identically distributed up to asymptotically negligible remainders. We prove that this modified quadratic variation satisfies a Central Limit Theorem and we derive its rate of convergence under the Wasserstein distance via Stein-Malliavin calculus. As a consequence, we construct, for the first time in the literature related to Hermite processes, a strongly consistent and asymptotically normal estimator for the Hurst parameter.

Keywords

Cite

@article{arxiv.2304.10947,
  title  = {Asymptotic normality for a modified quadratic variation of the Hermite process},
  author = {Antoine Ayache and Ciprian A Tudor},
  journal= {arXiv preprint arXiv:2304.10947},
  year   = {2023}
}