Method of Moments Estimation of Ornstein-Uhlenbeck Processes Driven by General Lévy Process

Mathematics – Probability

Scientific paper

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15 pages, 4 Postscript figures; corrected minor typos, final published version

Scientific paper

Ornstein-Uhlenbeck processes driven by general L\'{e}vy process are considered in this paper. We derive strongly consistent estimators for the moments of the underlying L\'{e}vy process and for the mean reverting parameter of the Ornstein-Uhlenbeck process. Moreover, we prove that the estimators are asymptotically normal. Finally, we test the empirical performance of our estimators in a simulation study and we fit the model to real data.

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