Serial dependence in ARCH-models as measured by tail dependence coefficients

Serial dependence in non-linear time series cannot always be reliably quantified using linear autocorrelation. We do a detailed study of serial dependence in an ARCH(1) process from the point of view of the lower tail dependence coefficient and certain generalisations thereof. Our results are relevant for estimating probabilities of consecutive value-at-risk violations in GARCH models