We determine the asymptotic behavior of the realized power variations, and more generally of sums of a given function f evaluated at the increments of a Lévy process between the successive times iΔ n for i = 0, 1,..., n. One can elucidate completely the first order behavior, that is the convergence in probability of such sums, possibly after normalization and/or centering: it turns out that there is a rather wide variety of possible behaviors, depending on the structure of jumps and on the chosen test function f. As for the associated central limit theorem, one can show some versions of it, but unfortunately in a limited number of cases only: in some other cases a CLT just does not exist. © EDP Sciences, SMAI 2007.
CITATION STYLE
Jacod, J. (2007). Asymptotic properties of power variations of Lévy processes. ESAIM - Probability and Statistics, 11, 173–196. https://doi.org/10.1051/ps:2007013
Mendeley helps you to discover research relevant for your work.