2006Unpublished venueRequires access

Developments in Multi-Attribute Portfolio Selection

Ralph E. Steuer, Yue Qi, Markus Hirschberger

Open publisher page 38 citations

Abstract

In this paper we reconcile why it is possible that people in finance view conventional portfolio selection as a single criterion problem and people in multiple criteria optimization view it as a bi-criterion problem. We then show how, for more complex investors, the theory of mean-variance portfolio selection can be extended to include additional objectives such as dividends, liquidity, turnover, number of securities in a portfolio, and so forth. This is followed by a discussion of the nature of the nondominated sets of multiple objective portfolio selection problems and developments underway for the solution of such problems.

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What this paper is about

In this paper we reconcile why it is possible that people in finance view conventional portfolio selection as a single criterion problem and people in multiple criteria optimization view it as a bi-criterion problem. We then show how, for more complex investors, the theory of mean-variance portfolio selection can be extended to include additional objectives such as dividends, liquidity, turnover, number of securities in a portfolio, and so forth. This is followed by a discussion of the nature of the nondominated sets of multiple objective portfolio selection problems and developments underway for the solution of such problems.

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OpenAlex reports 38 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this paper we reconcile why it is possible that people in finance view conventional portfolio selection as a single criterion problem and people in multiple criteria optimization view it as a bi-criterion problem. We then show how, for more complex investors, the theory of mean-variance portfolio selection can be extended to include additional objectives such as dividends, liquidity, turnover, number of securities in a portfolio, and so forth. This is followed by a discussion of the nature of the nondominated sets of multiple objective portfolio selection problems and developments underway for the solution of such problems.

Key concepts: Portfolio, Selection (genetic algorithm), Portfolio optimization, Modern portfolio theory, Post-modern portfolio theory, Computer science, Market liquidity, Application portfolio management

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