By means of the concept of change-of-variance function we investigate the stability properties of the asymptotic variance of R-estimators. This allows us to construct the optimal V-robust R-estimator that minimizes the asymptotic variance at the models under the side condition of a bounded change-of-variance function. Finally, we discuss the connection between this function and an influence function for two-sample rank tests introduced by EPLETT (1980)