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Research on the application of data analysis in predicting financial risk

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DOI: 10.23977/ferm.2024.070424 | Downloads: 13 | Views: 207

Author(s)

Jiangshan Wang 1, Tingting Deng 2, Shuochen Bi 3, Wenqing Bao 4, Jue Xiao 5

Affiliation(s)

1 The Paul Merage School of Business, University of California, Irvine, Independent Researcher Salt Lake City, UT, 84121, USA
2 Simon Business School, University of Rochester, Independent Researcher Chantilly, VA, 20151, USA
3 D'Amore-McKim School of Business, Northeastern University, Independent Researcher Boston, MA, 02110, USA
4 Americold Logistics, LLC Atlanta, GA, 30319, USA
5 The School of Business, University of Connecticut, Independent Researcher Jersey City, NJ, 07302, USA

Corresponding Author

Jiangshan Wang

ABSTRACT

This article mainly focuses on the application of data analysis in financial risk prediction, through the comprehensive use of a variety of data analysis methods and technologies, in-depth mining and analysis of relevant financial data. In particular, relevant cases in the US financial market and banking fields are introduced to reveal the effectiveness and importance of data analysis in identifying, evaluating and predicting financial risks. The research results provide strong theoretical support and practical guidance for financial institutions and enterprises to formulate more accurate risk management strategies.

KEYWORDS

Data Analysis; Prediction of Financial Risk; Application; Exploration

CITE THIS PAPER

Jiangshan Wang, Tingting Deng, Shuochen Bi, Wenqing Bao, Jue Xiao, Research on the application of data analysis in predicting financial risk. Financial Engineering and Risk Management (2024) Vol. 7: 183-188. DOI: http://dx.doi.org/10.23977/ferm.2024.070424.

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