2019
DOI: 10.1007/978-3-030-33110-8_15
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A Hybrid Model for Financial Portfolio Optimization Based on LS-SVM and a Clustering Algorithm

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“…The composition of the portfolio will be determined using soft data mining techniques since modern portfolio optimization framework suffers from significant drawbacks, especially on the emerging markets. Therefore, focusing on the market characteristics and return trends may improve shares segmentation acquired from cluster analysis and may also provide efficiency superior basis for implementation of SRI strategies on the observed emerging market (Markovic et al, 2019). The typical investor tends to improve the ESG quality of its portfolio by maximizing the ESG score without diverging too much from the selected benchmark performance.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The composition of the portfolio will be determined using soft data mining techniques since modern portfolio optimization framework suffers from significant drawbacks, especially on the emerging markets. Therefore, focusing on the market characteristics and return trends may improve shares segmentation acquired from cluster analysis and may also provide efficiency superior basis for implementation of SRI strategies on the observed emerging market (Markovic et al, 2019). The typical investor tends to improve the ESG quality of its portfolio by maximizing the ESG score without diverging too much from the selected benchmark performance.…”
Section: Literature Reviewmentioning
confidence: 99%