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

IF 5.6 2区 经济学 Q1 BUSINESS, FINANCE
H. Kent Baker , Jing Duo , Shantanu Dutta , Chen Li
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引用次数: 0

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.
内幕交易知识结构的分析与可视化:文献计量与主题分析
本研究以Web of Science数据库2003年至2023年初的1112篇研究论文为研究对象,进行文献计量分析。我们确定有影响力的文章和作者,通过引用、出版物和网络中心性来评估他们的影响力。我们还研究了与文章相关的作者、机构和国家的影响力和合作。此外,我们进行了全面的内容分析,揭示了内幕交易研究围绕六大主题展开,从内幕交易的信息内容到跨市场分析。此外,我们确定并总结了这些主题中的29个关键观察结果,为该领域的核心主题及其含义提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.30
自引率
2.20%
发文量
253
期刊介绍: The International Review of Economics & Finance (IREF) is a scholarly journal devoted to the publication of high quality theoretical and empirical articles in all areas of international economics, macroeconomics and financial economics. Contributions that facilitate the communications between the real and the financial sectors of the economy are of particular interest.
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