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On the limit behavior of the periodogram of high-frequency sampled stable CARMA processes

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  • Fasen, Vicky
  • Fuchs, Florian

Abstract

In this paper we consider a continuous-time autoregressive moving average (CARMA) process (Yt)t∈R driven by a symmetric α-stable Lévy process with α∈(0,2] sampled at a high-frequency time-grid {0,Δn,2Δn,…,nΔn}, where the observation grid gets finer and the last observation tends to infinity as n→∞. We investigate the normalized periodogram In,YΔn(ω)=|n−1/α∑k=1nYkΔne−iωk|2. Under suitable conditions on Δn we show the convergence of the finite-dimensional distribution of both Δn2−2/α[In,YΔn(ω1Δn),…,In,YΔn(ωmΔn)] for (ω1,…,ωm)∈(R∖{0})m and of self-normalized versions of it to functions of stable distributions. The limit distributions differ depending on whether ω1,…,ωm are linearly dependent or independent over Z. For the proofs we require methods from the geometry of numbers.

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  • Fasen, Vicky & Fuchs, Florian, 2013. "On the limit behavior of the periodogram of high-frequency sampled stable CARMA processes," Stochastic Processes and their Applications, Elsevier, vol. 123(1), pages 229-273.
    • Handle: RePEc:eee:spapps:v:123:y:2013:i:1:p:229-273
    DOI: 10.1016/j.spa.2012.08.003
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    References listed on IDEAS

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    Cited by:

    1. Reiichiro Kawai, 2017. "Sample Path Generation of Lévy-Driven Continuous-Time Autoregressive Moving Average Processes," Methodology and Computing in Applied Probability, Springer, vol. 19(1), pages 175-211, March.
    2. Vicky Fasen & Florian Fuchs, 2013. "Spectral estimates for high-frequency sampled continuous-time autoregressive moving average processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 34(5), pages 532-551, September.

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