Stock market prediction using evolutionary support vector machines: an application to the ASE20 index

作者: Andreas Karathanasopoulos , Konstantinos Athanasios Theofilatos , Georgios Sermpinis , Christian Dunis , Sovan Mitra

DOI: 10.1080/1351847X.2015.1040167

关键词: Support vector machineMultilayer perceptronStock market indexAutoregressive–moving-average modelAutoregressive modelData miningEconomicsMoving averageStock market predictionBuy and hold

摘要: … support vector machine (ESVM) stock predictor for modeling and trading the ASE20 Greek stock index extending the universe of … to optimize the SVM parameters and to find the optimal …

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