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Maximal moment inequalities for partial sums of  ρ -mixing random variables are established, which use some moment summations as upper bound. As application, we investigate strong consistency of conditional value-at-risk estimator for  ρ -mixing samples and give the corresponding convergence rate.

Maximal moment inequalities for partial sums of ρ -mixing random variables with application to conditional value-at-risk estimator