Abstract
In a central limit type result it has been shown that the pth power variations of an α-stable Lévy process along sequences of equidistant partitions of a given time interval have \(\frac{\alpha}{p}\)-stable limits. In this paper we give precise orders of convergence for the distances of the approximate power variations computed for partitions with mesh of order \(\frac{1}{n}\) and the limiting law, measured in terms of the Kolmogorov-Smirnov metric. In case 2α < p the convergence rate is seen to be of order \(\frac{1}{n}\), in case α < p < 2α the order is \(n^{1-\frac{p}{\alpha}}.\)
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Gairing, J.M., Imkeller, P. Stable CLTs and Rates for Power Variation of α-Stable Lévy Processes. Methodol Comput Appl Probab 17, 73–90 (2015). https://doi.org/10.1007/s11009-013-9378-z
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DOI: https://doi.org/10.1007/s11009-013-9378-z
Keywords
- Lévy process
- Stable process
- Power variation
- Central limit theorem
- Fourier transform
- Tail probability
- Rate of convergence
- Empirical distribution function
- Minimum distance estimator
- Brownian bridge