Stock Selection with a Novel Sigmoid-Based Mixed Discrete-Continuous Differential Evolution Algorithm.

Lean Yu, Lunchao Hu,Ling Tang

IEEE Transactions on Knowledge and Data Engineering(2016)

引用 45|浏览32
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摘要
A stock selection model with both discrete and continuous decision variables is proposed, in which a novel sigmoid-based mixed discrete-continuous differential evolution algorithm is especially developed for model optimization. In particular, a stock scoring mechanism is first designed to evaluate candidate stocks based on their fundamental and technical features, and the top-ranked stocks are sel...
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关键词
Optimization,Algorithm design and analysis,Computational modeling,Prediction algorithms,Portfolios,Numerical models,Stock markets
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