A Swarm Intelligence Optimization Algorithm for Cryptocurrency Portfolio Optimization

dc.contributor.authorYurtsal, Ahmet
dc.contributor.authorKaraömer, Yunus
dc.contributor.authorBenzer, Ali İhsan
dc.date.accessioned2023-01-10T21:24:00Z
dc.date.available2023-01-10T21:24:00Z
dc.date.issued2022
dc.departmentMAUNen_US
dc.description.abstractIn recent years, cryptocurrency has been widely adopted and seen as an alternative investment tool for investors. However, which cryptocurrency to invest in and how much to invest becomes a problem. Since there is a conflict of multiple criteria, portfolio optimization (PO) is needed to solve the problem. In this study, an Artificial Bee Colony (ABC) algorithm has been developed based on Markowitz's mean-variance model (M-MVM). With this method, the portfolio of cryptocurrencies has been tried to be optimized. Hourly data of 12 cryptocurrencies between 01.09.2020 and 01.04.2021 were used as data. It has been observed that the ABC algorithm achieves good results in the solution of the problem in a reasonable time. In addition, the method was tested with different parameter values and different risk-averse coefficient values (?).en_US
dc.identifier.doi10.18506/anemon.975505
dc.identifier.endpage363en_US
dc.identifier.issn2149-4622
dc.identifier.issue1en_US
dc.identifier.startpage347en_US
dc.identifier.trdizinid1076208
dc.identifier.urihttps://doi.org/10.18506/anemon.975505
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/1076208
dc.identifier.urihttps://hdl.handle.net/20.500.12639/5130
dc.identifier.volume10en_US
dc.indekslendigikaynakTR-Dizin
dc.institutionauthorAnemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi
dc.language.isoen
dc.relation.ispartofAnemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisien_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleA Swarm Intelligence Optimization Algorithm for Cryptocurrency Portfolio Optimizationen_US
dc.typeArticle

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