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We consider the practical issue - how an investor incorporates multidimensional risks from factor models directly into portfolio selection, and formulate the issue by multiple objective portfolio selection. Then we analytically derive efficient surfaces in multiple objective portfolio selection...
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Despite the volume of research conducted on efficient frontiers, in many cases it is still not the easiest thing to compute a mean-variance (MV) efficient frontier even when all constraints are linear. This is particularly true of large-scale problems having dense covariance matrices and hence...
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We present a framework for inverse optimization in a Markowitz portfolio model that is extended to include a third criterion. The third criterion causes the traditional nondominated frontier to become a surface. Until recently, it had not been possible to compute such a surface. But by using a...
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