Article ID Journal Published Year Pages File Type
1155697 Stochastic Processes and their Applications 2013 48 Pages PDF
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.

Related Topics
Physical Sciences and Engineering Mathematics Mathematics (General)
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