Maximum likelihood estimation in the non-ergodic fractional Vasicek model

preprint2020arXivOpen access

Abstract

We investigate the fractional Vasicek model described by the stochastic differential equation dXt=(α−βXt) dt+γ dBtHdX_t=(α-βX_t)\,dt+γ\,dB^H_t, X0=x0X_0=x_0, driven by the fractional Brownian motion BHB^H with the known Hurst parameter H∈(1/2,1)H\in (1/2,1). We study the maximum likelihood estimators for unknown parameters αα and ββ in the non-ergodic case (when β<0β<0) for arbitrary x0∈Rx_0\in \mathbb{R}, generalizing the result of Tanaka, Xiao and Yu (2019) for particular x0=α/βx_0=α/β, derive their asymptotic distributions and prove their asymptotic independence.

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