期刊名称：International Journal of Managing Value and Supply Chains
印刷版ISSN：2230-7966
电子版ISSN：0976-979X
出版年度：2013
卷号：4
期号：3
DOI：10.5121/ijmvsc.2013.430325
出版社：AIRCC
摘要：Pred icting daily behavior of stock market is a serious challenge for investors and corporate stockholders and it can help them to invest with more confident by taking risks and fluctuations into consideration. In this paper, by applying linear regression for predicting behavior of S&P 500 index, we prove that our proposed method has a similar and good performance in comparison to real volumes and the stockholders can invest confidentially based on that
关键词：Stock Market; Stock index; S&P 500; Data Mining; Regression; Dataset
