Joint temporal and contemporaneous aggregation of random-coefficient AR(1) processes

preprint2013arXivOpen access

Abstract

We discuss joint temporal and contemporaneous aggregation of NN independent copies of AR(1) process with random-coefficient a∈[0,1)a \in [0,1) when NN and time scale nn increase at different rate. Assuming that aa has a density, regularly varying at a=1a = 1 with exponent −1<β<1-1 < β< 1, different joint limits of normalized aggregated partial sums are shown to exist when N1/(1+β)/nN^{1/(1+β)}/n tends to (i) ∞\infty, (ii) 0, (iii) 0<μ<∞0 < μ< \infty. The limit process arising under (iii) admits a Poisson integral representation on (0,∞)×C(R)(0,\infty) \times C(\mathbb{R}) and enjoys "intermediate" properties between fractional Brownian motion limit in (i) and sub-Gaussian limit in (ii).

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