Title: Identification of enterprise financial risk based on logistics model

Authors: Zhiqi Li

Addresses: Financial Sharing Service Center, Yunnan Power Grid Co., Ltd., Kunming 650000, Yunnan, China

Abstract: With the deepening of market economy, financial risk seriously affects the healthy development of enterprises. This paper proposed a company financial risk crisis based on logistic regression model. The main components were extracted by factor analysis method, and the financial risk identification model was constructed by the logistic regression method, which combined factor analysis and logistic regression. After testing, the identification accuracy rate of the risk early warning model was 68.98% in the first three years of the financial crisis and 83.74% in the first two years, and 93.45% in the previous year. Through empirical analysis, the risk prediction model established in this paper had a certain practical value, and it was found that the effectiveness of its prediction was affected by time factors, and its prediction accuracy can reach 80% within two years before the crisis occurs.

Keywords: logistic model; corporate financial risk; financial crisis; risk warning.

DOI: 10.1504/IJBIDM.2024.139464

International Journal of Business Intelligence and Data Mining, 2024 Vol.25 No.1, pp.106 - 127

Received: 16 Sep 2022
Accepted: 05 Jan 2023
Published online: 02 Jul 2024 *

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