Improved Berry-Esseen bounds for parameter estimation of a fractional Ornstein-Uhlenbeck process observed at high frequency
This paper deals with parameter estimation of the drift coefficient, denoted θ, for a fractional Ornstein-Uhlenbeck process observed at high frequency. Specifically, we provide an estimator of θ, namely $\widetilde{\theta }_{n}$, using the second moment method. We develop some novel estimates to derive an explicit Berry–Esseen bound in the Wasserstein distance for the normal approximation of $\widetilde{\theta }_{n}$. Moreover, we prove that our estimate is strictly sharper than the one obtained in Douissi et al. (Electron. J. Stat. 16(1):636–670, 2022).
Authors
- Mishari Al-Foraih
- Fares Alazemi (ORCID: https://orcid.org/0000-0002-0604-005X)
- Khalifa Es-Sebaiy (ORCID: https://orcid.org/0000-0003-4915-6850)
Institutions
- Kuwait University (KW)
Publication Details
- Journal
- Advances in Continuous and Discrete Models
- Published
- 2026-01-29
- DOI
- https://doi.org/10.1186/s13662-026-04060-9
- Primary Topic
- Stochastic processes and financial applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00