Drift parameter estimation for fractional Ornstein-Uhlenbeck process of the Second Kind

Fractional Ornstein-Uhlenbeck process of the second kind $(\text{fOU}_{2})$ is solution of the Langevin equation $\mathrm{d}X_t = -θX_t\,\mathrm{d}t+\mathrm{d}Y_t^{(1)}, \ θ>0$ with driving noise $Y_t^{(1)} := \int^t_0 e^{-s} \,\mathrm{d}B_{a_s}; \ a_t= H e^{\frac{t}{H}}$ where $B$ is a fractional Brownian motion with Hurst parameter $H \in (0,1)$. In this article, in the case $H>1/2$, we prove that the least squares estimator $\hatθ_T$ introduced in [\cite{h-n}, Statist. Probab. Lett. 80, no. 11-12, 1030-1038], provides a consistent estimator. Moreover, using central limit theorem for multiple Wiener integrals, we prove asymptotic normality of the estimator valid for the whole range $H \in(1/2,1)$.

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