The integrated approach adopted by Bank of Italy in the collection and production of credit and financial data
Author
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Fabio Zambuto, 2021.
"Quality checks on granular banking data: an experimental approach based on machine learning,"
IFC Bulletins chapters, in: Bank for International Settlements (ed.), Micro data for the macro world, volume 53,
Bank for International Settlements.
- Fabio Zambuto & Maria Rosaria Buzzi & Giuseppe Costanzo & Marco Di Lucido & Barbara La Ganga & Pasquale Maddaloni & Fabio Papale & Emiliano Svezia, 2020. "Quality checks on granular banking data: an experimental approach based on machine learning?," Questioni di Economia e Finanza (Occasional Papers) 547, Bank of Italy, Economic Research and International Relations Area.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Massimo Casa & Marco Carnevali & Silvia Giacinti & Roberto Sabatini, 2022. "PUMA cooperation between the Bank of Italy and the intermediaries for the production of statistical, supervisory and resolution reporting," Questioni di Economia e Finanza (Occasional Papers) 734, Bank of Italy, Economic Research and International Relations Area.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Davide Nicola Continanza & Andrea del Monaco & Marco di Lucido & Daniele Figoli & Pasquale Maddaloni & Filippo Quarta & Giuseppe Turturiello, 2023.
"Stacking machine learning models for anomaly detection: comparing AnaCredit to other banking data sets,"
IFC Bulletins chapters, in: Bank for International Settlements (ed.), Data science in central banking: applications and tools, volume 59,
Bank for International Settlements.
- Pasquale Maddaloni & Davide Nicola Continanza & Andrea del Monaco & Daniele Figoli & Marco di Lucido & Filippo Quarta & Giuseppe Turturiello, 2022. "Stacking machine-learning models for anomaly detection: comparing AnaCredit to other banking datasets," Questioni di Economia e Finanza (Occasional Papers) 689, Bank of Italy, Economic Research and International Relations Area.
- Francesco Cusano & Giuseppe Marinelli & Stefano Piermattei, 2022. "Learning from revisions: an algorithm to detect errors in banks’ balance sheet statistical reporting," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4025-4059, December.
- Fabio Zambuto & Simona Arcuti & Roberto Sabatini & Daniele Zambuto, 2021. "Application of classification algorithms for the assessment of confirmation to quality remarks," Questioni di Economia e Finanza (Occasional Papers) 631, Bank of Italy, Economic Research and International Relations Area.
- Francesco Cusano & Giuseppe Marinelli & Stefano Piermattei, 2021. "Learning from revisions: a tool for detecting potential errors in banks' balance sheet statistical reporting," Questioni di Economia e Finanza (Occasional Papers) 611, Bank of Italy, Economic Research and International Relations Area.
- Vittoria La Serra & Emiliano Svezia, 2024. "A supervised record linkage approach for anomaly detection in insurance assets granular data," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(5), pages 4181-4205, October.
More about this item
Keywords
regulatory reporting; banking reporting; data model; data quality; information management; statistical production; information system;All these keywords.
JEL classification:
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
- M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BAN-2022-02-21 (Banking)
- NEP-CBA-2022-02-21 (Central Banking)
- NEP-MON-2022-02-21 (Monetary Economics)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bdi:opques:qef_667_22. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/bdigvit.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.