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A Linear Programming Approximation for the General Portfolio Analysis Problem

Journal of Financial and Quantitative Analysis 1971 6(5), 1263
Almost twenty years ago, Markowitz [4] first suggested that portfolio selection be regarded as a parametric quadratic programming problem. Risk is stated in terms of the predicted variance of portfolio return — a function that is quadratic in the decision variables (the proportions of the portfolio invested in various securities). All other functions (e.g., expected return) and constraints are assumed to be linear. The objective is to find the set of efficient feasible portfolios. A portfolio is feasible if it satisfies a set of relevant linear constraints; it is efficient if it provides (1) less variance than any other feasible portfolio with the same expected return and (2) more expected return than any other feasible portfolio with the same variance.

JFQ volume 4 issue 5 Cover, Errata and Front matter

Journal of Financial and Quantitative Analysis 1970 4(5), f1-f5 open access
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JFQ volume 5 issue 2 Cover and Front matter

Journal of Financial and Quantitative Analysis 1970 5(2), f1-f4 open access
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December 1970 Special Issue

Journal of Financial and Quantitative Analysis 1970 4(5), 709-709
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Program of the 1970 Western Finance Association Meeting

Journal of Financial and Quantitative Analysis 1970 5(2), 276-277
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Announcements

Journal of Financial and Quantitative Analysis 1970 5(4-5), 497-499 open access
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JFQ volume 5 issue 1 Cover and Front matter

Journal of Financial and Quantitative Analysis 1970 5(1), f1-f4 open access
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Instructions to Authors

Journal of Financial and Quantitative Analysis 1970 4(5), 710-710
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Proceedings of WFA Meeting, August 21, 1969

Journal of Financial and Quantitative Analysis 1970 4(5), 707-708
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JFQ volume 5 issue 3 Cover and Front matter

Journal of Financial and Quantitative Analysis 1970 5(3), f1-f4 open access
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