Maximum likelihood estimation in the non-ergodic fractional Vasicek model

We investigate the fractional Vasicek model described by the stochastic differential equation $d{X_{t}}=(\alpha -\beta {X_{t}})\hspace{0.1667em}dt+\gamma \hspace{0.1667em}d{B_{t}^{H}}$, ${X_{0}}={x_{0}}$, driven by the fractional Brownian motion ${B^{H}}$ with the known Hurst parameter $H\in (1/2,1)...

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Veröffentlicht in:Modern Stochastics: Theory and Applications 2019-10, Vol.6 (3), p.377-395
Hauptverfasser: Lohvinenko, Stanislav, Ralchenko, Kostiantyn
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Sprache:eng
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Zusammenfassung:We investigate the fractional Vasicek model described by the stochastic differential equation $d{X_{t}}=(\alpha -\beta {X_{t}})\hspace{0.1667em}dt+\gamma \hspace{0.1667em}d{B_{t}^{H}}$, ${X_{0}}={x_{0}}$, driven by the fractional Brownian motion ${B^{H}}$ with the known Hurst parameter $H\in (1/2,1)$. We study the maximum likelihood estimators for unknown parameters α and β in the non-ergodic case (when $\beta
ISSN:2351-6046
2351-6054
DOI:10.15559/19-VMSTA140