Conditions For Transforming An Expected Utility Problem Into A Mean-Variance Analysis
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Maximizing expected utility is widely accepted in theoretical work, but extension to empirical models is more controversial. We state two theorems which outline conditions when mean-variance procedures such as quadratic programming can be used to maximize expected utility. These conditions are often assumed or satisfied in empirical studies.