Issue |
E3S Web Conf.
Volume 214, 2020
2020 International Conference on Energy Big Data and Low-carbon Development Management (EBLDM 2020)
|
|
---|---|---|
Article Number | 01007 | |
Number of page(s) | 4 | |
Section | Big Data Analysis Application and Energy Consumption Research | |
DOI | https://doi.org/10.1051/e3sconf/202021401007 | |
Published online | 07 December 2020 |
The Research Fronts of Financial Market Risk Prevention in the Background of Big Data Analysis: Scientific Measurement Analysis from Multidisciplinary Literature
Nanfang College of Sun Yat-sen University School of Accounting Guangzhou, Guangdong
* Corresponding author. Email: czzzj11@126.com
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.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.