Statistical analysis of the non-ergodic fractional Ornstein-Uhlenbeck process with periodic mean

preprint2020arXivOpen access

Abstract

Consider a periodic, mean-reverting Ornstein-Uhlenbeck process X={Xt,t≥0}X=\{X_t,t\geq0\} of the form dXt=(L(t)+αXt)dt+dBtH,t≥0d X_{t}=\left(L(t)+αX_{t}\right) d t+ dB^H_{t}, \quad t \geq 0, where L(t)=∑i=1pμiϕi(t)L(t)=\sum_{i=1}^{p}μ_iϕ_i (t) is a periodic parametric function, and {BtH,t≥0}\{B^H_t,t\geq0\} is a fractional Brownian motion of Hurst parameter 12≤H<1\frac12\leq H<1. In the "ergodic" case α<0α<0, the parametric estimation of (μ1,…,μp,α)(μ_1,\ldots,μ_p,α) based on continuous-time observation of XX has been considered in Dehling et al. \cite{DFK}, and in Dehling et al. \cite{DFW} for H=12H=\frac12, and 12<H<1\frac12<H<1, respectively. In this paper we consider the "non-ergodic" case α>0α>0, and for all 12≤H<1\frac12\leq H<1. We analyze the strong consistency and the asymptotic distribution for the estimator of (μ1,…,μp,α)(μ_1,\ldots,μ_p,α) when the whole trajectory of XX is observed.

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