Portfolio management within the frame of multiobjective mathematical programming: a categorised bibliographic study
Panagiotis Xidonas,
George Mavrotas and
John Psarras
International Journal of Operational Research, 2010, vol. 8, issue 1, 21-41
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.
Keywords: bibliographic study; multiobjective mathematical programming; portfolio management; modelling. (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.inderscience.com/link.php?id=33102 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijores:v:8:y:2010:i:1:p:21-41
Access Statistics for this article
More articles in International Journal of Operational Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().