Developments in Multi-Attribute Portfolio Selection
Ralph E. Steuer, Yue Qi, Markus Hirschberger
Abstract
Ralph E. Steuer, Yue Qi, Markus Hirschberger
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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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