Research on the Risk Control System of Securities Companies Under the Background of Big Data
- DOI
- 10.2991/978-94-6463-056-5_15How to use a DOI?
- Keywords
- Big Data Technology; Internet Finance; Risk Control
- Abstract
Practices at home and abroad have proved that the Internet financial risk control system with big data technology as the core plays a huge role in preventing financial risks. Therefore, it is necessary to strengthen and improve the risk control system based on big Internet data. As an essential part of financial institutions, securities companies should make full use of the advantages of market data obtained to develop more diversified Internet financial services and improve risk control systems. At present, various financial institutions have relatively complete risk control during and after the event, but there are certain shortcomings in the risk control before the event. Securities companies can strengthen the risk control system from the data and model level by building a risk control platform. Based on this, this article will start with pre-risk control, specifically expounding the necessity and feasibility for securities companies to improve the risk control system under the wave of Internet finance.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jiahui Li PY - 2022 DA - 2022/12/29 TI - Research on the Risk Control System of Securities Companies Under the Background of Big Data BT - Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022) PB - Atlantis Press SP - 108 EP - 113 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-056-5_15 DO - 10.2991/978-94-6463-056-5_15 ID - Li2022 ER -