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Decision Analysis of Multifactor Credit Risk Based on Logistic Regression and BP Neural Network

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  • Qiang Tang
  • Wen Yu Shi
  • Muhammad Faisal Nadeem

Abstract

Small, medium, and micro enterprises play an important role in the development of the national economy and are of great significance in promoting technological innovation, relieving employment pressure, facilitating people’s lives, and maintaining social stability. But in China, small, medium, and micro enterprises generally exist in the phenomenon of “financing difficulties.†Therefore, we need to find a method to forecast its credit risk. By using Python, SPSS, and other software, based on a two-component logistic regression model, assisted by multievaluation model and supported by game theory, this paper establishes an innovative comprehensive credit risk assessment model for small, medium, and micro enterprises.

Suggested Citation

  • Qiang Tang & Wen Yu Shi & Muhammad Faisal Nadeem, 2022. "Decision Analysis of Multifactor Credit Risk Based on Logistic Regression and BP Neural Network," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-6, July.
    • Handle: RePEc:hin:jnlmpe:5194443
    DOI: 10.1155/2022/5194443
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