Using Data for Systemic Financial Risk Management
Summary: Argues for rebuilding systemic financial risk management as an information-rich data platform to enable large-scale monitoring and containment of financial distress. Enumerates DB research challenges—knowledge representation, data quality, integration, confidentiality, and presentation—and outlines a research agenda to exploit post-crisis reform opportunities. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Mark Flood
- 2. H. V. Jagadish
- 3. Albert Kyle
- 4. Frank Olken
- 5. Louiqa Raschid
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