Power variation of fractional integral processes with jumps
This paper presents some limit theorems for realized power variation of processes of the form observed at high frequency. Here BH is a fractional Brownian motion with Hurst parameter H[set membership, variant](0,1),[phi] is a process with finite q-variation for q<1/(1-H), [xi] is a purely non-Gaussian Lévy process, and [xi],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.
Year of publication: |
2011
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Authors: | Liu, Guangying ; Zhang, Xinsheng |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 81.2011, 8, p. 962-972
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Publisher: |
Elsevier |
Keywords: | Realized power variation Long memory Jump process Central limit theorem High frequency |
Saved in:
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