A new class of semiparametric estimators of the tail index is proposed. These estimators
are based on a rather general class of semiparametric statistics. Their asymptotic
normality is proved. The new estimators are compared with several other recently introduced
estimators of the tail index in terms of the asymptotic mean-square error. An algorithm to
calculate the new estimators is developed and then applied to several real data sets.
