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Discovering new plausibility checks for supervisory data

Author

Listed:
  • Romano, Stefania
  • Martinez-Heras, Jose
  • Raponi, Francesco Natalini
  • Guidi, Gregorio
  • Gottron, Thomas

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

Suggested Citation

  • Romano, Stefania & Martinez-Heras, Jose & Raponi, Francesco Natalini & Guidi, Gregorio & Gottron, Thomas, 2021. "Discovering new plausibility checks for supervisory data," Statistics Paper Series 41, European Central Bank.
  • Handle: RePEc:ecb:ecbsps:202141
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    File URL: https://www.ecb.europa.eu//pub/pdf/scpsps/ecb.sps41~b3f9939b22.en.pdf
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    References listed on IDEAS

    as
    1. Nicola Benatti, 2019. "A machine learning approach to outlier detection and imputation of missing data," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Are post-crisis statistical initiatives completed?, volume 49, Bank for International Settlements.
    2. Friedman, Jerome H. & Hastie, Trevor & Tibshirani, Rob, 2010. "Regularization Paths for Generalized Linear Models via Coordinate Descent," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 33(i01).
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    machine learning; plausibility checks; quality assurance; supervisory data; validation rules;
    All these keywords.

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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