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)

Paper ID: 147
Venue: CIDR
Year: 2011
Pagerank: -
Overall Rank: 13,678 | 6.16%
DOI: -

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Authors

1. Mark Flood (University of Maryland)
2. H. V. Jagadish (University of Michigan)
3. Albert Kyle (University of Maryland)
4. Frank Olken (Lawrence Berkeley National Laboratory)
5. Louiqa Raschid (University of Maryland)

BibTeX Citation

@inproceedings{flood_cidr11,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '11},
        title = {{Using Data for Systemic Financial Risk Management}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Flood, Mark and Jagadish, H. V. and Kyle, Albert and Olken, Frank and Raschid, Louiqa},
        year = {2011}
}

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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