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

Liu, Rong, Mai, Feng, Shan, Zhe et al. (2020). Predicting shareholder litigation on insider trading from financial text: An interpretable deep learning approach . INFORMATION & MANAGEMENT, 57(8), 10.1016/j.im.2020.103387

cited authors

  • Liu, Rong; Mai, Feng; Shan, Zhe; Wu, Ying

authors

publication date

  • December 1, 2020

published in

keywords

  • Attention models
  • BEHAVIOR
  • BIG DATA
  • Business & Economics
  • CULTURE
  • Computer Science
  • Computer Science, Information Systems
  • DISCLOSURE
  • Deep learning
  • ENFORCEMENT
  • FRAUD
  • GOVERNANCE
  • INFORMATION
  • Information Science & Library Science
  • Insider trading
  • Management
  • Predictive analytics
  • SCIENCE
  • Science & Technology
  • Social Sciences
  • Technology
  • Text mining
  • UNCERTAINTY

Digital Object Identifier (DOI)

publisher

  • ELSEVIER

volume

  • 57

issue

  • 8