  In this paper, higher-order expansions for distributions and densities of
powered extremes of standard normal random sequences are established under an
optimal choice of normalized constants. Our findings refine the related results
in Hall (1980). Furthermore, it is shown that the rate of convergence of
distributions/densities of normalized extremes depends in principle on the
power index.
