Forecasting daily stock market return using dimensionality reduction

标题
Forecasting daily stock market return using dimensionality reduction
作者
关键词
Daily stock return forecasting, Principal component analysis (, PCA, ), Fuzzy robust principal component analysis (, FRPCA, ), Kernel-based principal component analysis (, KPCA, ), Artificial neural networks (, ANN, s), Trading strategies
出版物
EXPERT SYSTEMS WITH APPLICATIONS
Volume 67, Issue -, Pages 126-139
出版商
Elsevier BV
发表日期
2016-09-22
DOI
10.1016/j.eswa.2016.09.027

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