Statistical inference procedure for the mean-variance efficient frontier with estimated parameters

摘要

We suggest finite sample tests for the location of the efficient frontier with the estimated parameters in mean-variance space. The exact densities of the test statistics are derived. We implement the introduced testing procedure empirically by considering monthly returns of ten developed stock markets. It is shown that ignoring the uncertainty about the estimated parameters leads to a more frequent reconstruction of the efficient frontier.