dc.contributor.author |
Xidonas, P |
en |
dc.contributor.author |
Mavrotas, G |
en |
dc.contributor.author |
Psarras, J |
en |
dc.date.accessioned |
2014-03-01T01:33:22Z |
|
dc.date.available |
2014-03-01T01:33:22Z |
|
dc.date.issued |
2010 |
en |
dc.identifier.issn |
0925-5001 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/20403 |
|
dc.subject |
ε-Constraint method |
en |
dc.subject |
Equities |
en |
dc.subject |
Multiobjective mathematical programming |
en |
dc.subject |
Portfolio optimization |
en |
dc.subject.classification |
Operations Research & Management Science |
en |
dc.subject.classification |
Mathematics, Applied |
en |
dc.subject.other |
Constraint methods |
en |
dc.subject.other |
Decision makers |
en |
dc.subject.other |
Interactive filtering |
en |
dc.subject.other |
Mixed integer programming model |
en |
dc.subject.other |
Multi objective |
en |
dc.subject.other |
Multiobjective mathematical programming |
en |
dc.subject.other |
Pareto solution |
en |
dc.subject.other |
Pareto-optimal |
en |
dc.subject.other |
Portfolio optimization |
en |
dc.subject.other |
Stock exchange |
en |
dc.subject.other |
Computer software selection and evaluation |
en |
dc.subject.other |
Decision making |
en |
dc.subject.other |
Financial data processing |
en |
dc.subject.other |
Integer programming |
en |
dc.subject.other |
Multiobjective optimization |
en |
dc.title |
Equity portfolio construction and selection using multiobjective mathematical programming |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1007/s10898-009-9465-4 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1007/s10898-009-9465-4 |
en |
heal.language |
English |
en |
heal.publicationDate |
2010 |
en |
heal.abstract |
A multi-objective mixed integer programming model for equity portfolio construction and selection is developed in this study, in order to generate the Pareto optimal portfolios, using a novel version of the well known ε-constraint method. Subsequently, an interactive filtering process is also proposed to assist the decision maker in making his/her final choice among the Pareto solutions. The proposed methodology is tested through an application in the Athens Stock Exchange. © Springer Science+Business Media, LLC. 2009. |
en |
heal.publisher |
SPRINGER |
en |
heal.journalName |
Journal of Global Optimization |
en |
dc.identifier.doi |
10.1007/s10898-009-9465-4 |
en |
dc.identifier.isi |
ISI:000277340500003 |
en |
dc.identifier.volume |
47 |
en |
dc.identifier.issue |
2 |
en |
dc.identifier.spage |
185 |
en |
dc.identifier.epage |
209 |
en |