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Efficient Portfolio Selection for Pareto-Levy Investments

Journal of Financial and Quantitative Analysis 1967 2(2), 107
The Markowitz analysis of efficient portfolio selection, which can be interpreted as solving the quadratic-programming problem of minimizing the variance of a normal variate subject to each prescribed mean value, easily can be generalized (in the special case of independently distributed investments) to the concave-programming problem of minimizing the “dispersion” of a stable Pareto-Lévy variate subject to each prescribed mean value. Some further generalizations involving interdependent distributions will also be presented here.

General Proof that Diversification Pays

Journal of Financial and Quantitative Analysis 1967 2(1), 1
“Don't put all your eggs in one basket, ” is a familiar adage. Economists, such as Marschak, Markowitz, and Tobin, who work only with mean income and its variance, can give specific content to this rule—namely, putting a fixed total of wealth equally into independently, identically distributed investments will leave the mean gain unchanged and will minimize the variance.

JFQ volume 1 issue 2 Back matter

Journal of Financial and Quantitative Analysis 1966 1(2), b1-b1 open access
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JFQ volume 1 issue 2 Cover and Front matter

Journal of Financial and Quantitative Analysis 1966 1(2), f1-f14 open access
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JFQ volume 1 issue 1 Cover and Front matter

Journal of Financial and Quantitative Analysis 1966 1(1), f1-f3 open access
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Instructions to Authors

Journal of Financial and Quantitative Analysis 1966 1(4), 133-133
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