Author(s)

Fenglian Zhou ¹

Affiliation(s)

¹ Sichuan Vocational College of Cultural Industries, Chengdu, China

Corresponding Author

Fenglian Zhou

ABSTRACT

The application of big data (BD) technology can help enterprises improve the processing efficiency of financial data(FD), enhance the persuasion of decision-making information and enhance the use value of FD. It can monitor the financial situation of enterprises in real time, analyze the financial risk(FR) faced by enterprises, and give early warning of potential FR, so that enterprises can formulate strategies to deal with FR in time. This paper mainly studies the FR early warning model based on BD. By analyzing the relevant theories of FR, this paper studies the impact of BD on enterprise FR. A decision tree FR early warning model based on BD is proposed, and the data of listed companies are selected to train the early warning model. From the model training results, we can know that the BD FR early warning model proposed in this paper has good prediction performance and can help enterprises deal with FR timely and effectively.

KEYWORDS

Big Data, Financial Risk, Early Warning Model, Decision Tree

CITE THIS PAPER

Fenglian Zhou, Research on Financial Risk Early Warning Model Based on Big Data. Financial Engineering and Risk Management (2022) Vol. 5: 52-57. DOI: http://dx.doi.org/10.23977/ferm.2022.050306.

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