Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1152494 | Statistics & Probability Letters | 2011 | 11 Pages |
Abstract
This paper presents some limit theorems for realized power variation of processes of the form Xt=â«0tÏsdBsH+ξt observed at high frequency. Here BH is a fractional Brownian motion with Hurst parameter Hâ(0,1),Ï is a process with finite q-variation for q<1/(1âH), ξ is a purely non-Gaussian Lévy process, and ξ,BH are independent. We prove the convergence in probability for properly normalized realized power variation and some associated stable central limit theorems. The results achieved in this paper provide new statistical tools to analyze the long memory processes with jumps.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Guangying Liu, Xinsheng Zhang,