Simple Criteria for Optimal Portfolio Selection with Upper Bounds

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Abstract
We present a new method for selecting optimal portfolios when upper-bound constraints on investments in individual stocks are present and when the variance-covariance matrix of returns possesses a special structure such as that implied by the standard single-index model. The method differs substantially from the usual nonlinear programming methods used in this context and allows the development of criteria that indicate important characteristics of a stock.

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