A new methodology for deriving the efficient frontier of stocks portfolios: An advanced risk-return model
In this paper after a general literature review on the concept of Efficient Frontier (EF), an important inadequacy of the Variance based models for deriving EFs and the high necessity for applying another risk measure is exemplified. In this regard for this study the risk measure of Lower Partial Mo...
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Shahrood University of Technology
2014-07-01
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| Series: | Journal of Artificial Intelligence and Data Mining |
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| Online Access: | http://jad.shahroodut.ac.ir/article_305_4714edd6861e084ac8b485d5aef88ef3.pdf |
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doaj-6a4826324ed748808155b499f8d1d0972020-11-24T21:10:47ZengShahrood University of TechnologyJournal of Artificial Intelligence and Data Mining2322-52112322-44442014-07-012211312310.22044/jadm.2014.305305A new methodology for deriving the efficient frontier of stocks portfolios: An advanced risk-return modelSh. Mehrjoo0M. Jasemi1A. Mahmoudi2Department of Industrial Management, Islamic Azad University, Qazvin Branch, Qazvin, IranDepartment of Industrial Engineering, K.N.Toosi University of Technology, Tehran, Iran.Department of Industrial Management, payamenoor University, izeh Branch, izeh, Iran.In this paper after a general literature review on the concept of Efficient Frontier (EF), an important inadequacy of the Variance based models for deriving EFs and the high necessity for applying another risk measure is exemplified. In this regard for this study the risk measure of Lower Partial Moment of the first order is decided to replace Variance. Because of the particular shape of the proposed risk measure, one part of the paper is devoted to development of a mechanism for deriving EF on the basis of new model. After that superiority of the new model to old one is shown and then the shape of new EFs under different situations is investigated. At last it is concluded that application of LPM of the first order in financial models in the phase of deriving EF is completely wise and justifiable.http://jad.shahroodut.ac.ir/article_305_4714edd6861e084ac8b485d5aef88ef3.pdfefficient frontierportfolio optimizationMarkowitz modellower partial moment modelGenetic algorithm |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Sh. Mehrjoo M. Jasemi A. Mahmoudi |
| spellingShingle |
Sh. Mehrjoo M. Jasemi A. Mahmoudi A new methodology for deriving the efficient frontier of stocks portfolios: An advanced risk-return model Journal of Artificial Intelligence and Data Mining efficient frontier portfolio optimization Markowitz model lower partial moment model Genetic algorithm |
| author_facet |
Sh. Mehrjoo M. Jasemi A. Mahmoudi |
| author_sort |
Sh. Mehrjoo |
| title |
A new methodology for deriving the efficient frontier of stocks portfolios: An advanced risk-return model |
| title_short |
A new methodology for deriving the efficient frontier of stocks portfolios: An advanced risk-return model |
| title_full |
A new methodology for deriving the efficient frontier of stocks portfolios: An advanced risk-return model |
| title_fullStr |
A new methodology for deriving the efficient frontier of stocks portfolios: An advanced risk-return model |
| title_full_unstemmed |
A new methodology for deriving the efficient frontier of stocks portfolios: An advanced risk-return model |
| title_sort |
new methodology for deriving the efficient frontier of stocks portfolios: an advanced risk-return model |
| publisher |
Shahrood University of Technology |
| series |
Journal of Artificial Intelligence and Data Mining |
| issn |
2322-5211 2322-4444 |
| publishDate |
2014-07-01 |
| description |
In this paper after a general literature review on the concept of Efficient Frontier (EF), an important inadequacy of the Variance based models for deriving EFs and the high necessity for applying another risk measure is exemplified. In this regard for this study the risk measure of Lower Partial Moment of the first order is decided to replace Variance. Because of the particular shape of the proposed risk measure, one part of the paper is devoted to development of a mechanism for deriving EF on the basis of new model. After that superiority of the new model to old one is shown and then the shape of new EFs under different situations is investigated. At last it is concluded that application of LPM of the first order in financial models in the phase of deriving EF is completely wise and justifiable. |
| topic |
efficient frontier portfolio optimization Markowitz model lower partial moment model Genetic algorithm |
| url |
http://jad.shahroodut.ac.ir/article_305_4714edd6861e084ac8b485d5aef88ef3.pdf |
| work_keys_str_mv |
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1716755180338282496 |