  We study stationarity and moments properties of some count time series models
from contraction and stability properties of iterated random maps. Both
univariate and multivariate processes are considered, including the recent
multivariate count time series models introduced recently by Doukhan et al.
(2017). We improve many existing results by providing optimal stationarity
conditions or conditions ensuring existence of some exponential moments.
