SSRNML & AI Methods
Dynamic Graph Neural Networks for Real Time Systemic Risk Surveillance: An Explainable AI Framework for Financial Stability
The research proposes a temporal graph neural network with explainability tools for real-time systemic risk surveillance, achieving early warning signals 3-4 quarters ahead of financial distress on bank data.
Featured in No. 133 on 2 Oct 2026 · 3 days after release
- Released
- 29 Sep 2026
- First featured
- No. 133 · 2 Oct 2026
- Published in
- Not yet, as far as Semantic Scholar knows
- Fanfare
- 3 of 5
- Identifier
- SSRN 7522878
- Authors
- Gnana Praveena Nethala et al.
Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).