location:Home > 2023 Vol.6 Apr.N0.2 > Risk prediction method of corporate financing model based on big data analysis

2023 Vol.6 Apr.N0.2

  • Title: Risk prediction method of corporate financing model based on big data analysis
  • Name: Chunfen Yuan
  • Company: College of Finance and Trade Zhengzhou Business University,GongYi 451200,China
  • Abstract:

    At present, the measurement of corporate financial risk mainly relies on a combination of subjective judgments and structured measurements, and the lack of construction of a financial risk indicator system leads to poor prediction results. In this regard, a risk prediction method based on big data analysis is proposed for corporate financing model. Big data analysis technology is used to mine and analyze corporate financial market data, construct risk evaluation indicators, and use principal component analysis to build a risk prediction model. In the experiments, the proposed method is verified for prediction accuracy. The experimental results show that when the proposed method is used for risk prediction, the RMSE value of the prediction results is low and has a more desirable prediction effect.


  • Keyword: big data analysis; financing models; risk prediction; data mining; principal component analysis.
  • DOI: 10.12250/jpciams2023090412
  • Citation form: Chunfen Yuan.Risk prediction method of corporate financing model based on big data analysis [J]. Computer Informatization and Mechanical System,2023,Vol.6,pp.58-62
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Tsuruta Institute of Medical Information Technology
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