Application of Big Data Analysis Technology in Financial Investment Risk Management
- DOI
- 10.2991/978-94-6463-030-5_98How to use a DOI?
- Keywords
- Big data analysis technology; financial investment; Risk management; data processing
- Abstract
Based on the application of big data analysis technology in financial investment risk management, this paper makes a detailed analysis to help enterprises reasonably plan financial investment and realize the reasonable control of financial investment risk. Data analysis carries out systematic processing according to financial information, establishes financial data model, brings data information into the model, and obtains effective information through model transformation and processing, so as to provide factual basis for enterprise financial investment and avoid financial investment risk. The application of data analysis technology has greatly promoted the intelligence of financial investment risk management and accelerated the rapid integration of data analysis and financial investment. The main integration of big data is formed through data analysis.
- 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 - Yongfang Nie AU - Qingguo Nie PY - 2022 DA - 2022/12/20 TI - Application of Big Data Analysis Technology in Financial Investment Risk Management BT - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022) PB - Atlantis Press SP - 998 EP - 1003 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-030-5_98 DO - 10.2991/978-94-6463-030-5_98 ID - Nie2022 ER -