The notion of Mean-Variance Efficiency is well know and well accepted from the context of the Sharpe-Markowitz theory of Portfolio Optimization under the assumption of Normally distributed returns. The natural generalization of this concept for asymmetric return distributions is the notion of the CE-Value Maximal Frontier. This consists of the portfolios that are CE-Value Maximal for some value of risk tolerance. For any given value of the risk tolerance, the portfolio can be optimized with respect to CE-VALUE. By systematically varying the risk tolerance from small to large values, one gets a family of solutions that together are called the CE-Value Maximal Frontier. This frontier is automatically generated and plotted for any of several different forms for the portfolio return function. Portfolio return distributions may be normal, lognormal, gamma, and beta. Other return distribution shapes may be optimized as well by simply changing the function call in the target cell for the model.

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