BusinessScientific Reports
Incorporating textual network improves Chinese stock market analysis
Y. Li, Z. Mi, et al.
Discover how Yi Li, Zichuan Mi, and Wenjun Jing leverage textual networks to decode the intricate relationship between analysts' reports and stock market movements in China. Their innovative sparse Laplacian shrinkage logistic model (SLS_L) reveals groundbreaking insights surpassing traditional prediction methods. Dive into these findings that could redefine how we interpret market dynamics!
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