Predicting shareholder litigation on insider trading from financial text: An interpretable deep learning approach

Title
Predicting shareholder litigation on insider trading from financial text: An interpretable deep learning approach
Authors
Keywords
Insider trading, Predictive analytics, Deep learning, Attention models, Text mining
Journal
INFORMATION & MANAGEMENT
Volume -, Issue -, Pages 103387
Publisher
Elsevier BV
Online
2020-10-15
DOI
10.1016/j.im.2020.103387

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