Financial Early-Warning Analysis of Big Data Industry Enterprises Based on Factor Analysis and Logistic Model
- https://doi.org/10.2991/dramclr-19.2019.36How to use a DOI?
- financial early-warning model, financial risk, Logistic regression analysis
On the basis of systematic research on financial early-warning research at home and abroad, this paper selects Chinese big data listed companies as research samples, constructs financial early-warning model of electronic information listed companies with Logistic regression method comprehensively, and analyzes its discriminating effect. The results show that it is an effective method to construct a financial early-warning model by using logistics regression method to help listed companies prevent financial risks.
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - XiaoFei Luana AU - HongMei Zhang PY - 2019/11 DA - 2019/11 TI - Financial Early-Warning Analysis of Big Data Industry Enterprises Based on Factor Analysis and Logistic Model BT - Proceedings of the Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019) PB - Atlantis Press SP - 59 EP - 63 SN - 1951-6851 UR - https://doi.org/10.2991/dramclr-19.2019.36 DO - https://doi.org/10.2991/dramclr-19.2019.36 ID - Luana2019/11 ER -