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Analyzing and visualizing knowledge structures of insider trading: A bibliometric and topic analysis

Author

Listed:
  • Baker, H. Kent
  • Duo, Jing
  • Dutta, Shantanu
  • Li, Chen

Abstract

This study conducts a bibliometric analysis of 1112 research papers from 2003 to early 2023, sourced from the Web of Science database, to explore insider trading. We identify influential articles and authors, evaluating their impact by citations, publications, and network centrality. We also study the influence and collaboration of authors, institutions, and countries affiliated with the articles. Additionally, we conduct a comprehensive content analysis that reveals insider trading research centers around six major topics, ranging from the information content of insider trading to cross-market analysis. Furthermore, we identify and summarize 29 key observations within these topics, offering valuable insights into the field's core topics and their implications.

Suggested Citation

  • Baker, H. Kent & Duo, Jing & Dutta, Shantanu & Li, Chen, 2025. "Analyzing and visualizing knowledge structures of insider trading: A bibliometric and topic analysis," International Review of Economics & Finance, Elsevier, vol. 104(C).
    • Handle: RePEc:eee:reveco:v:104:y:2025:i:c:s1059056025007567
    DOI: 10.1016/j.iref.2025.104593
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    Keywords

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    JEL classification:

    • G0 - Financial Economics - - General
    • G3 - Financial Economics - - Corporate Finance and Governance

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