The Journal of Finance

The Journal of Finance publishes leading research across all the major fields of finance. It is one of the most widely cited journals in academic finance, and in all of economics. Each of the six issues per year reaches over 8,000 academics, finance professionals, libraries, and government and financial institutions around the world. The journal is the official publication of The American Finance Association, the premier academic organization devoted to the study and promotion of knowledge about financial economics.

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Using Generalized Method of Moments to Test Mean‐Variance Efficiency

Published: 06/01/1991   |   DOI: 10.1111/j.1540-6261.1991.tb02672.x

A. CRAIG MACKINLAY, MATTHEW P. RICHARDSON

This paper develops tests of unconditional mean‐variance efflciency under weak distributional assumptions using a Generalized Method of Moments framework. These tests are potentially more robust than commonly employed tests which rely on the assumption that asset returns are normally distributed and temporarily i.i.d. Using returns for size‐based portfolios from 1926 to 1988 we show that the conclusion concerning the mean‐variance effilciency of market indexes can be sensitive to the test considered.