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Financial risk prediction and prevention based on big data technology

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DOI: 10.23977/ferm.2023.061104 | Downloads: 135 | Views: 626

Author(s)

Qiyu Liang 1

Affiliation(s)

1 New York University, New York, United States

Corresponding Author

Qiyu Liang

ABSTRACT

With the macro-economy entering the new normal, many new problems have been exposed in all walks of life, and credit risks in the financial field are also being exposed at an accelerated pace. In China, every year, on average, there are more than ten trillion yuan of new financing and hundreds of trillions of yuan of stock loans issued after maturity, at present, the financial industry will bring great pressure on the subsequent credit hazard management, prevention and control of large-scale credit expiration hazards. he rapid development of modern information technology has had a profound impact on various industries, and in this context, big data technology has become increasingly widely used in the financial industry, playing an important role in financial risk prediction and prevention. The study explored financial risk prediction methods based on big data technology from aspects such as credit risk analysis, and then explored financial risk prevention strategies supported by big data technology from aspects such as risk prevention awareness.

KEYWORDS

Financial risks; Big data; Prediction; Keep away

CITE THIS PAPER

Qiyu Liang, Financial risk prediction and prevention based on big data technology. Financial Engineering and Risk Management (2023) Vol. 6: 28-32. DOI: http://dx.doi.org/10.23977/ferm.2023.061104.

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