High-frequency Donsker theorems for Lévy measures

Journal article (2016)

Authors

Richard Nickl University of Cambridge

Markus Reiß Humboldt-Universitat zu Berlin

J. Söhl University of Cambridge

Mathias Trabs Humboldt-Universitat zu Berlin

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Lévy process Empirical process Donsker theorem High-frequency inference

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Published Date

01-02-2016

Language

English

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Abstract

Donsker-type functional limit theorems are proved for empirical processes arising from discretely sampled increments of a univariate Lévy process. In the asymptotic regime the sampling frequencies increase to infinity and the limiting object is a Gaussian process that can be obtained from the composition of a Brownian motion with a covariance operator determined by the Lévy measure. The results are applied to derive the asymptotic distribution of natural estimators for the distribution function of the Lévy jump measure. As an application we deduce Kolmogorov–Smirnov type tests and confidence bands.