| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1155723 | Stochastic Processes and their Applications | 2013 | 45 Pages |
Abstract
In this paper we consider a continuous-time autoregressive moving average (CARMA) process (Yt)tâR driven by a symmetric α-stable Lévy process with αâ(0,2] sampled at a high-frequency time-grid {0,În,2În,â¦,nÎn}, where the observation grid gets finer and the last observation tends to infinity as nââ. We investigate the normalized periodogram In,YÎn(Ï)=|nâ1/αâk=1nYkÎneâiÏk|2. Under suitable conditions on În we show the convergence of the finite-dimensional distribution of both În2â2/α[In,YÎn(Ï1În),â¦,In,YÎn(ÏmÎn)] for (Ï1,â¦,Ïm)â(Râ{0})m and of self-normalized versions of it to functions of stable distributions. The limit distributions differ depending on whether Ï1,â¦,Ïm are linearly dependent or independent over Z. For the proofs we require methods from the geometry of numbers.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematics (General)
Authors
Vicky Fasen, Florian Fuchs,
