English

Persistence of one-dimensional AR(1)-sequences

Probability 2018-08-01 v2

Abstract

For a class of one-dimensional autoregressive processes (Xn)(X_n) we consider the tail behaviour of the stopping time T0=min{n1:Xn0}T_0=\min \lbrace n\geq 1: X_n\leq 0 \rbrace. We discuss existing general analytical approaches to this and related problems and propose a new one, which is based on a renewal-type decomposition for the moment generating function of T0T_0 and on the analytical Fredholm alternative. Using this method, we show that Px(T0=n)V(x)R0n\mathbb{P}_x(T_0=n)\sim V(x)R_0^n for some 0<R0<10<R_0<1 and a positive R01R^{-1}_0-harmonic function VV. Further we prove that our conditions on the tail behaviour of the innovations are sharp in the sense that fatter tails produce non-exponential decay factors.

Cite

@article{arxiv.1801.04485,
  title  = {Persistence of one-dimensional AR(1)-sequences},
  author = {Günter Hinrichs and Martin Kolb and Vitali Wachtel},
  journal= {arXiv preprint arXiv:1801.04485},
  year   = {2018}
}

Comments

30 pages

R2 v1 2026-06-22T23:44:31.216Z