Reconsidering the gains in efficiency from ML estimation versus OLS in ARCH models

This paper provides an improved approximation to the asymptotic relative efficiency of the MLE against OLS when estimating the mean equation in the presence of conditional heteroscedasticity. Results are given which show that the existing approximation may considerably understate the efficiency gains of ML when the conditional heteroscedasticity is substantial.