Abstract We introduce methods to apply stochastic frontier analysis (SFA) financial assets as an alternative data envelopment analysis, because SFA allows us fit a with noisy data. In contrast conventional SFA, we wish deal estimation risk, heteroscedasticity in noise and inefficiency terms. investigate measurement error the risk return measures using simulation–extrapolation method develop res...