利用文献计量学回顾分析COVID-19大流行期间的股市表现

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摘要

本研究采用文献计量学综述的方法,对COVID-19大流行期间有关股市表现的出版物的研究趋势、最活跃贡献者(学科领域、来源标题、国家、机构和作者)、关键词分析和引文分析进行评估。使用Microsoft Excel、VOSviewer、WordSift和Harzing’s灭亡或出版对2020-2022年期间的720篇Scopus出版物进行了分析。数据表明,从2020年到2022年,对股市表现的研究趋势迅速上升。关于新冠肺炎疫情期间股市表现的文章最多的是中国。与发达国家相比,研究结果表明,新兴国家在出版物方面表现更好。从文献中越来越多的作者关键词来看,投资者情绪、溢出效应和不确定性是值得关注的前瞻性文献缺口。未来的研究人员和商业从业者可以利用这项研究的结果来研究异常事件如何影响股市表现。
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Stock market performance during the COVID-19 pandemic using bibliometric review
This study uses bibliometric review to assess research trends, most active contributors (subject area, source titles, countries, institutions, and authors), keywords analysis, and citation analysis of publications on stock market performance during the COVID-19 pandemic. The analyses examining the 720 Scopus publications from 2020-2022 were performed using Microsoft Excel, VOSviewer, WordSift, and Harzing’s Perish or Publish. The data indicated that research trends on stock market performance rose rapidly from 2020 to 2022. China has the most articles on stock market performance during the COVID-19 pandemic. Compared to developed countries, the findings indicated that emerging countries are performing better in publications. From the expanding number of author keywords in the literature, investor sentiment, spillover effect, and uncertainty are prospective literature gaps to focus on. Future researchers and business practitioners can use the study's findings to study how unusual events affect stock market performance.
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