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Use of sparse correlations for assessing financial markets

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摘要 1 Introduction In the financial market,the partial correlation is a technical tool for studying the relationships between stocks,pairs trading,and industry classification[1,2].Many of these studies[2-4]focus on traditional statistical methods,which solve the partial correlation of stocks with a large number of observation samples and a relatively small number of stocks.For example,Jung and Chang[2]used 10 years of daily-level data to calculate the partial correlation matrix of 300 stocks.
出处 《Frontiers of Computer Science》 SCIE EI CSCD 2020年第6期189-191,共3页 中国计算机科学前沿(英文版)
基金 supported by the General Financial Grant from Jiangsu Natural Science Foundation for Youth in 2014(BK20140075).
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