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Please use this identifier to cite or link to this item: http://hdl.handle.net/10651/7042

Title: Selecting the optimum portfolio using fuzzy compromise programming and sharpe's single index-model
Author(s): Bilbao Terol, Amelia María
Pérez Gladish, Blanca María
Antomil Ibias, José
Keywords: Portfolio Selection; Sharpe’S Single-Index Model; Fuzzy Numbers; Value, Fuzziness and Ambiguity; Fuzzy Compromise Programming
Issue date: 2006
Publisher: Elsevier
Publisher version: http://dx.doi.org/10.1016/j.amc.2006.04.028
Citation: Applied Mathematics and Computation, 182(1), P. 644-664 (2006); doi:10.1016/j.amc.2006.04.028
Format extent: 644-664
Abstract: Different approaches besides the traditional Markowitz’s model have been proposed in the literature to analyze portfolio selection problems. Among them, Compromise Programming (CP) is a suitable multiobjective programming technique which allows the handling of several objectives in those situations in which the existence of a high level of conflict between criteria does not permit the simultaneous optimization of all the considered objectives. When objectives and constraints are in an imprecise environment Fuzzy CP arises as a suitable solving method. Imprecision will be quantified by means of fuzzy numbers that represent the continuous possibility distributions for fuzzy parameters and hence place a constraint on the possible values the parameters may assume. In this paper a new Fuzzy Compromise Programming approach is proposed based on the obtaining of the minimum fuzzy distance to the fuzzy ideal solution of the portfolio selection problem. Once this fuzzy distance has been obtained the second step consists of finding a crisp decision vector, an optimal portfolio, implying a fuzzy distance to the ideal solution the more accurate as possible to the fuzzy minimum distance previously obtained.
URI: http://www.sciencedirect.com/science/article/pii/S0096300306003742
ISSN: 0096-3003
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