Asymptotic behavior of maximum likelihood estimator for time inhomogeneous diffusion processes

Details Asymptotic behavior of maximum likelihood estimator for time inhomogeneous diffusion processes Asymptotic behavior of maximum likelihood estimator for time inhomogeneous diffusion processes

2008-10-15

arxiv.org/abs/0810.2688v1

Journal of Statistical Planning and Inference 140 (2010) 1576-1593

Mathematics

Statistics Theory

35 pages

Scientific paper

We study asymptotic behavior of maximum likelihood estimator for a time inhomogeneous diffusion process given by a SDE $dX_t=\alpha b(t)X_t dt + \sigma(t) dB_t$, $t\in[0,T)$, with a parameter $\alpha\in R$, where $T\in(0,\infty]$ and $(B_t)_{t\in[0,T)}$ is a standard Wiener process. We formulate sufficient conditions under which the MLE of $\alpha$ normalized by Fisher information converges to the limit distribution of Dickey-Fuller statistics. Next we study a SDE $dY_t=\alpha b(t)a(Y_t) dt + \sigma(t) dB_t$, $t\in[0,T)$, with a perturbed drift satisfying $a(x)=x+O(1+|x|^\gamma)$ with some $\gamma\in[0,1)$. We give again sufficient conditions under which the MLE of $\alpha$ normalized by Fisher information converges to the limit distribution of Dickey-Fuller statistics.

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