Smooth quantile estimators under strong mixing: necessary and sufficient conditions on bandwidth for weak convergence

We study the smooth quantile estimator Q̂(p),00 for a sequence of stationary strong mixing random variables. Under minimal assumptions on the underlying distribution function F and kernel k, we establish necessary and sufficient conditions on an for the Central Limit Theorem to hold for Q̂(p),0