  Cluster indices describe extremal behaviour of stationary time series. We
consider runs estimators of cluster indices. Using a modern theory of
multivariate, regularly varying time series, we obtain central limit theorems
under conditions that can be easily verified for a large class of models. In
particular, we show that blocks and runs estimators have the same limiting
variance.
