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Mean‐Variance Versus Direct Utility Maximization

Research output: Contribution to journalArticlepeer-review

329 Scopus citations

Abstract

Levy and Markowitz showed, for various utility functions and empirical returns distributions, that the expected utility maximizer could typically do very well if he acted knowing only the mean and variance of each distribution. Levy and Markowitz considered only situations in which the expected utility maximizer chose among a finite number of alternate probability distributions. The present paper examines the same questions for a case with an infinite number of alternate distributions, namely those available from the standard portfolio constraint set. 1984 The American Finance Association

Original languageEnglish
Pages (from-to)47-61
Number of pages15
JournalJournal of Finance
Volume39
Issue number1
DOIs
StatePublished - Mar 1984

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