Article ID Journal Published Year Pages File Type
5130097 Stochastic Processes and their Applications 2017 27 Pages PDF
Abstract

Given an Itō semimartingale with a time-homogeneous jump part observed at high frequency, we prove weak convergence of a normalized truncated empirical distribution function of the Lévy measure to a Gaussian process. In contrast to competing procedures, our estimator works for processes with a non-vanishing diffusion component and under simple assumptions on the jump process.

Related Topics
Physical Sciences and Engineering Mathematics Mathematics (General)
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