Early Warning Research on Financial Risk of Transportation Enterprises Based on Logistic Regression Analysis

Yueshan Han ()
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Yueshan Han: Jiangsu University of Science and Technology, School of Economics and Management

A chapter in Proceedings of the 2023 3rd International Conference on Financial Management and Economic Transition (FMET 2023), 2024, pp 203-209 from Springer

Abstract: Abstract In the of development, transport companies can be poorly operated thus resulting in sustained losses. To address such a situation, this paper adopts the data of listed companies in Luxembourg-Shenzhen transport from 2010 to 2022 as a sample, and applies factor analysis to screen out four principal component factors, then construct a financial risk early warning model for transport companies through binary logistic regression analysis. The results show that the overall correct rate of the model's early warning reaches 96.6%. Therefore, the model can better predict the financial crisis of listed transport companies.

Keywords: transport companies; factor analysis; logistic regression (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-272-9_21

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DOI: 10.2991/978-94-6463-272-9_21

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