Real-Time Risk Assessment and Market Response Mechanism Driven by Financial Technology
DOI:
https://doi.org/10.71222/pg604c40Keywords:
financial technology, real-time risk assessment, market response mechanism, liquidity risk assessmentAbstract
With the increasing complexity of the financial market, the single risk assessment and response mechanism has been well-established for institutional financial market players but has gradually shown its own limitations when providing professional support and liquidity risk warning signals for individuals and mid-size commercial entities. It is difficult to meet the requirements of immediacy, accuracy and sensitivity from each financial market player, especially portfolio liquidity requirements and prospective risk assessment. Fintech relies on strong big data processing capabilities, advanced intelligent algorithms and innovative technologies to play an increasingly important role in real-time risk assessment and rapid response. The blockchain technology enables decentralized financial data serving risk assessment at real-time. This paper analyzes the role of fintech in the development of real-time risk assessment mechanism and market response mechanism, mainly focusing on the application of real-time big data processing technology, intelligent risk modeling technology and anomaly detection technology, dynamic perception technology, as well as the application of automatic trading on cash allocation technology, market sentiment analysis and regulatory technology in market response for individuals and non-financial institutions.
References
1. J. P. Koeplin and P. Lélé, "Up-to-Date Hedge Accounting for TPRM Based on Cost/Benefit Assessment When Aligning with FED Interagency Letter SR 23-4 to Be Shared for FinTech Supporting Sound Practices within CRE 22 Effective as of: 01 Jan 2023," J. Financ. Risk Manag., vol. 13, no. 1, pp. 207–259, 2024, doi: 10.4236/jfrm.2024.131011.
2. Q. Wan, X. Miao, C. Wang et al., "A hybrid decision support system with golden cut and bipolar q-ROFSs for evaluating the risk-based strategic priorities of fintech lending for clean energy projects," Financial Innovation, vol. 9, p. 10, 2023, doi: 10.1186/s40854-022-00406-w.
3. A. Gote and V. Mendhe, "Building a Cash Flow Underwriting System: Insights from Implementation," International Journal of Computer Trends and Technology, vol. 72, no. 2, pp. 70–74, 2024, doi: 10.14445/22312803/IJCTT-V72I2P113.
4. M. Wijermars and M. Makhortykh, "Sociotechnical imaginaries of algorithmic governance in EU policy on online disinfor-mation and FinTech," New Media & Society, vol. 24, no. 4, pp. 942–963, 2022, doi: 10.1177/14614448221079033.
5. E. Brown and D. Piroska, "Governing Fintech and Fintech as Governance: The Regulatory Sandbox, Riskwashing, and Dis-ruptive Social Classification," New Political Economy, vol. 27, no. 1, pp. 19–32, 2021, doi: 10.1080/13563467.2021.1910645.
