Slowly varying asymptotics for signed stochastic difference equations

Korshunov, Dmitry (2021) Slowly varying asymptotics for signed stochastic difference equations. In: A Lifetime of Excursions Through Random Walks and Lévy Processes : A Volume in Honour of Ron Doney's 80th Birthday. Progress in Probability . Birkhauser, Cham, pp. 245-257. ISBN 9783030833084

[thumbnail of Difference_equation]
Text (Difference_equation)
Difference_equation.pdf - Accepted Version
Available under License Creative Commons Attribution-NonCommercial.

Download (255kB)

Abstract

For a stochastic difference equation D n = A n D n−1 + B n which stabilises upon time we study tail distribution asymptotics for D n under the assumption that the distribution of log(1+|A1|+|B1|) is heavy-tailed, that is, all its positive exponential moments are infinite. The aim of the present paper is three-fold. Firstly, we identify the asymptotic behaviour not only of the stationary tail distribution but also of D n. Secondly, we solve the problem in the general setting when A takes both positive and negative values. Thirdly, we get rid of auxiliary conditions like finiteness of higher moments introduced in the literature before.

Item Type:
Contribution in Book/Report/Proceedings
ID Code:
159382
Deposited By:
Deposited On:
20 Oct 2021 09:15
Refereed?:
Yes
Published?:
Published
Last Modified:
12 Feb 2024 00:56