Real-Time Exposure Aggregation and Tail Risk Estimation: AI-Powered Systems for Dynamic Multi-Factor Financial Risk Assessment

Authors

  • Dzmitry Tsetseruk Associate Professor of Computer Science

Keywords:

real-time exposure aggregation, tail risk estimation, systems, dynamic multi-factor financial risk assessment, machine learning

Abstract

The increasing importance of the dynamic assessment of financial risk is closely related to market volatility and uncertainty, which cause rapid fluctuations in the economic and financial spheres. The paper studies AI-powered systems in the context of financial risk.

Readership Data

βˆ’
🌐

Refreshing Cached Analytics Data

The cached analytics data has become stale and thesciencebrigade.com is making a fresh request to fetch the latest data from Google Analytics. This may take 20-30 seconds depending on the server response time from Google Analytics. Please do not close the browser during this time. We appreciate your patience.

Downloads

Published

30-06-2026

How to Cite

[1]
β€œReal-Time Exposure Aggregation and Tail Risk Estimation: AI-Powered Systems for Dynamic Multi-Factor Financial Risk Assessment”, J. of Art. Int. & Research, vol. 6, no. 1, pp. 21–34, Jun. 2026, Accessed: Jun. 05, 2026. [Online]. Available: https://thesciencebrigade.com/JAIR/article/view/830