Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1155697 | Stochastic Processes and their Applications | 2013 | 48 Pages |
Abstract
We derive Central Limit Theorems for the convergence of approximate quadratic variations, computed on the basis of regularly spaced observation times of the underlying process, toward the true quadratic variation. This problem was solved in the case of an Itô semimartingale having a non-vanishing continuous martingale part. Here we focus on the case where the continuous martingale part vanishes and find faster rates of convergence, as well as very different limiting processes.
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Physical Sciences and Engineering
Mathematics
Mathematics (General)
Authors
Assane Diop, Jean Jacod, Viktor Todorov,