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We study the smooth quantile estimator based on a kernel k and a sequence of bandwidth for stationary strong mixing random variables.Under minimal assump tions on the underlying distribution functions F and kernel k, we establish necessary and sufficient conditions on bandwidth for the Central Limit Theorem to hold for our smooth qunatiles.Our results extend the Central Limit Theorems of Ralescu and Sun (1993) and Sen (1972).