Maximum Likelihood Estimation In The Non-Ergodic Fractional Vasicek Model

MODERN STOCHASTICS-THEORY AND APPLICATIONS(2019)

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Abstract
We investigate the fractional Vasicek model described by the stochastic differential equation dX(t) = (alpha - beta X-t) dt + gamma dB(t)(H), X-0 = x(0), driven by the fractional Brownian motion B-H with the known Hurst parameter H is an element of(1/2, 1). We study the maximum likelihood estimators for unknown parameters alpha and beta in the non-ergodic case (when beta < 0) for arbitrary x(0) is an element of R, generalizing the result of Tanaka, Xiao and Yu (2019) for particular x(0) = alpha/beta, derive their asymptotic distributions and prove their asymptotic independence.
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Key words
Fractional Brownian motion, fractional Vasicek model, maximum likelihood estimation, moment generating function, asymptotic distribution, non-ergodic process
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