Article ID Journal Published Year Pages File Type
4629810 Applied Mathematics and Computation 2013 9 Pages PDF
Abstract

Due to estimation risk, the portfolios on the efficient frontier can be statistically indistinguishable from the global minimum variance portfolio. We provide a methodology for determining a bound on the risk aversion coefficient, which separates portfolios that are equivalent or significantly different from the global minimum variance (GMV) portfolio. We conclude that investing in the GMV portfolio is statistically justified for investors with a very wide range of the risk aversion coefficients.

Related Topics
Physical Sciences and Engineering Mathematics Applied Mathematics
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