An artificial bee colony algorithm for uncertain portfolio selection.
Portfolio selection is an important issue for researchers and practitioners. In this paper, under the assumption that security returns are given by experts' evaluations rather than historical data, we discuss the portfolio adjusting problem which takes transaction costs and diversification degree of...
| Published in: | Scientific World Journal pp. 578182 - 578183 |
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| Format: | research Journal Article |
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Wiley-Blackwell
2014
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=103838214&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 103838214 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1537744X 1BX5 jtl: Scientific World Journal issn: 1537744X maglogo: N pubinfo: dt: 2014 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 103838214 103838214 NLM25089292 2012670792 10.1155/2014/578182 NLM25089292 PMC4098991 103838214 ppf: 578182 ppct: 1 formats: tig: atl: An artificial bee colony algorithm for uncertain portfolio selection. aug: au: Chen, Wei affil: School of Information, Capital University of Economics and Business, Beijing 100070, China. sug: subj: Algorithms Investments Models, Theoretical Uncertainty ab: Portfolio selection is an important issue for researchers and practitioners. In this paper, under the assumption that security returns are given by experts' evaluations rather than historical data, we discuss the portfolio adjusting problem which takes transaction costs and diversification degree of portfolio into consideration. Uncertain variables are employed to describe the security returns. In the proposed mean-variance-entropy model, the uncertain mean value of the return is used to measure investment return, the uncertain variance of the return is used to measure investment risk, and the entropy is used to measure diversification degree of portfolio. In order to solve the proposed model, a modified artificial bee colony (ABC) algorithm is designed. Finally, a numerical example is given to illustrate the modelling idea and the effectiveness of the proposed algorithm. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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