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  • 标题:The Research Fronts of Financial Market Risk Prevention in the Background of Big Data Analysis: Scientific Measurement Analysis from Multidisciplinary Literature
  • 本地全文:下载
  • 作者:Chung-Lien Pan ; Zizhen Chen ; Xiaobing Zhou
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2020
  • 卷号:214
  • 页码:1-4
  • DOI:10.1051/e3sconf/202021401007
  • 出版社:EDP Sciences
  • 摘要:Risks are ubiquitous in financial markets, and the occurrence of financial crises has never stopped. In order to provide research fronts for financial market risk prevention in the context of big data analysis, this article is based on 556 articles retrieved from the Web of Science database. Keywords such as “big data” and “development of emerging capital markets” were comprehensively analyzed and visualized. The four key visualization legends were used to obtain the status and impact of the utilization of major institutions and big data resources. The focus of research lies in the research of crisis contagion and the development of early warning systems. In addition, this article also outlines the gaps in the overall research direction of academia on financial market risk prevention.
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