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AuthorColapinto, Cinzia
AuthorLa Torre, Davide
AuthorAouni, Belaid
Available date2023-04-10T07:52:11Z
Publication Date2017-07-21
Publication NameOperational Research
Identifierhttp://dx.doi.org/10.1007/s12351-017-0337-2
CitationColapinto, C., La Torre, D., & Aouni, B. (2019). Goal programming for financial portfolio management: a state-of-the-art review. Operational Research, 19(3), 717-736.
ISSN1109-2858
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85025451694&origin=inward
URIhttp://hdl.handle.net/10576/41785
AbstractOver the last decades, the Goal Programming (GP) model has been applied to financial portfolio management and/or selection problem in decision-making contexts where several conflicting and incommensurable objectives are simultaneously aggregated. The aim of this paper is to identify the research trends and publication outlets for the application of GP model to portfolio management. We point out an increasing interest and affirmation of more sophisticated models. We present a characterization of the existing GP variants and provide historical data and statistical analysis.
Languageen
PublisherSpringer Nature
SubjectFinancial portfolio selection
Goal programming
Typology
TitleGoal programming for financial portfolio management: a state-of-the-art review
TypeArticle
Pagination717-736
Issue Number3
Volume Number19
ESSN1866-1505
dc.accessType Full Text


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