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Portfolio management within the frame of multiobjective mathematical programming: A categorised bibliographic study

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dc.contributor.author Xidonas, P en
dc.contributor.author Mavrotas, G en
dc.contributor.author Psarras, J en
dc.date.accessioned 2014-03-01T01:34:19Z
dc.date.available 2014-03-01T01:34:19Z
dc.date.issued 2010 en
dc.identifier.issn 17457645 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/20691
dc.subject Bibliographic study en
dc.subject MMP en
dc.subject Multiobjective mathematical programming en
dc.subject PM en
dc.subject Portfolio management en
dc.title Portfolio management within the frame of multiobjective mathematical programming: A categorised bibliographic study en
heal.type journalArticle en
heal.identifier.primary 10.1504/IJOR.2010.033102 en
heal.identifier.secondary http://dx.doi.org/10.1504/IJOR.2010.033102 en
heal.publicationDate 2010 en
heal.abstract According to the conventional theory of finance, maximising return with minimum risk should be a milestone of every rational investor. However, contrary to the theoretical expectations of the classical approach, the tests achieved on most financial markets have revealed the existence of more variables, beyond those of risk and return. Moreover, the conventional theory does not take into consideration the investor's specific preferences and behavioural aspects. Under this rationale, the problem of selecting an attractive portfolio is a multicriteria issue, which should be tackled by using appropriate techniques. It is our purpose in this paper to show that the modelling framework of multiobjective mathematical programming (MMP) constitutes the most solid methodological basis for resolving the inherent multidimensional nature of the portfolio selection problem. We are also trying to capture the existing research activity through an elaborate categorised bibliographic review, regarding the application of MMP techniques in portfolio management. © 2010 Inderscience Enterprises Ltd. en
heal.journalName International Journal of Operational Research en
dc.identifier.doi 10.1504/IJOR.2010.033102 en
dc.identifier.volume 8 en
dc.identifier.issue 1 en
dc.identifier.spage 21 en
dc.identifier.epage 41 en


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