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Application of Big Data Analysis in Risk Early Warning in the Global Financial Market

Author(s)

Shiyin Dai

Affiliation(s)

Wenzhou Kean University, Wenzhou, Zhejiang, China

Abstract

This paper discusses the application and challenges of big data analysis in the risk warning of global financial market. With the development of information technology, big data analysis is playing an increasingly important role in financial risk management, helping financial institutions to improve the accuracy and efficiency of risk prediction. Through the integration of multi-source data such as market data, customer data and social media information, big data technology can provide more comprehensive data support and realize accurate early warning of credit risks, market risks and operational risks. However, this process also faces challenges such as data quality issues, privacy protection challenges, and technology costs. To cope with these problems, it is necessary to strengthen the construction of laws and regulations, improve the technical level, and promote cross-industry cooperation to share data resources and joint risk control models. In short, despite the challenges, big data analytics has great potential to improve the stability of global financial markets.

Keywords

Big Data Analytics; Financial Risk Management; Data Privacy; Cross-Industry Cooperation

References

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