Supervisory Data Quality
Supervisory Data Quality is a formal assessment framework that specifies the accuracy, completeness, consistency, timeliness, and reliability of financial reporting data submitted by institutions to regulatory supervisors to ensure its fitness for prudential oversight and policy decision-making.
9
Publications
215
Citations
25
Authors
16
Institutions
Publications per year
2017–2026
3
Parents
9
Can Bank Supervisors Rely on Market Data? A Critical Assessment from a Swiss Perspective
Urs Birchler, Matteo Facchinetti · Zeitschrift für schweizerische Statistik und Volkswirtschaft/Schweizerische Zeitschrift für Volkswirtschaft und Statistik/Swiss journal of economics and statistics · 2007 · 22 citations · Full text
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25
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16
Federal Reserve Bank of Minneapolis
Minneapolis, United States
1 h-index
4 publications
48 citations

Vrije Universiteit Amsterdam
Amsterdam, The Netherlands
1 h-index
1 publications
22 citations
Utrecht University
Utrecht, The Netherlands
1 h-index
1 publications
22 citations
De Nederlandsche Bank
Amsterdam, The Netherlands
1 h-index
2 publications
44 citations
ATEbank (Greece)
Athens, Greece
1 h-index
1 publications
35 citations
Erasmus University Rotterdam
Rotterdam, The Netherlands
1 h-index
1 publications
22 citations

South London and Maudsley NHS Foundation Trust
London, United Kingdom
1 h-index
3 publications
78 citations
University of California, Merced
Merced, United States
1 h-index
2 publications
116 citations
1–8 of 16
1 publications · 22 citations
1
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1 publications · 26 citations
1
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SZVS · 1 publications · 22 citations
1
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Repository · 1 publications · 35 citations
1
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1 publications · 12 citations
1
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1–5