Asymptotic normality of location invariant heavy tail index estimator

Motivated by Fraga Alves (Extremes 4:199–217, 2001 )’s work, a new class of location invariant Hill-type estimators for the tail index of a heavy tailed distribution is proposed in the paper. Its asymptotic behavior is derived, and the optimal choice of the sample fraction is discussed by mean squared error. Asymptotic comparisons and simulation studies are presented to show that the new estimator performs well compared to the known ones.