Financial Early-Warning Analysis of Big Data Industry Enterprises Based on Factor Analysis and Logistic Model

Abstract

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. Keywords—financial early-warning model, financial risk, Logistic regression analysis 摘要—在对国内外财务预警研究进行系统研究 的基础上,选取我国大数据上市企业公司作为研究 样本,综合运用 Logistic 回归法构建电子信息上 市公司财务预警模型,并分析其判别效果。研究结 果表明,通过运用 logistic 回归法构建财务预警 模型来帮助上市公司防范财务风险是一种行之有效