Discovering new plausibility checks for supervisory data

Stefania Romano, Jose Martinez-Heras, Francesco Natalini Raponi, Gregorio Guidi and Thomas Gottron

No 41, Statistics Paper Series from European Central Bank

Abstract: In carrying out its banking supervision tasks as part of the Single Supervisory Mechanism (SSM), the European Central Bank (ECB) collects and disseminates data on significant and less significant institutions. To ensure harmonised supervisory reporting standards, the data are represented through the European Banking Authority’s data point model, which defines all the relevant business concepts and the validation rules. For the purpose of data quality assurance and assessment, ECB experts may implement additional plausibility checks on the data. The ECB is constantly seeking ways to improve these plausibility checks in order to detect suspicious or erroneous values and to provide high-quality data for the SSM. JEL Classification: C18, C63, C81, E58, G28

Keywords: machine learning; plausibility checks; quality assurance; supervisory data; validation rules (search for similar items in EconPapers)
Date: 2021-10
New Economics Papers: this item is included in nep-ban, nep-big, nep-cba, nep-cmp and nep-mac
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Persistent link: https://EconPapers.repec.org/RePEc:ecb:ecbsps:202141

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