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Emiliano Svezia

Personal Details

First Name:Emiliano
Middle Name:
Last Name:Svezia
Suffix:
RePEc Short-ID:psv54
[This author has chosen not to make the email address public]

Affiliation

Banca d'Italia

Roma, Italy
http://www.bancaditalia.it/
RePEc:edi:bdigvit (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Vittoria La Serra & Emiliano Svezia, 2023. "A robust record linkage approach for anomaly detection in granular insurance asset reporting," Questioni di Economia e Finanza (Occasional Papers) 821, Bank of Italy, Economic Research and International Relations Area.
  2. Vittoria La Serra & Emiliano Svezia, 2022. "Statistical matching for anomaly detection in insurance assets granular reporting," IFC Working Papers 22, Bank for International Settlements.
  3. 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.

Articles

  1. 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.

Chapters

  1. Vittoria La Serra & Emiliano Svezia, 2023. "Statistical matching for anomaly detection in insurance assets granular reporting," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Post-pandemic landscape for central bank statistics, volume 58, Bank for International Settlements.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. 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.

    Cited by:

    1. 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.
    2. Massimo Casa & Laura Graziani Palmieri & Laura Mellone & Francesca Monacelli, 2022. "The integrated approach adopted by Bank of Italy in the collection and production of credit and financial data," Questioni di Economia e Finanza (Occasional Papers) 667, Bank of Italy, Economic Research and International Relations Area.
    3. 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.
    4. 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.
    5. 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.

Articles

    Sorry, no citations of articles recorded.

Chapters

    Sorry, no citations of chapters recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-BIG: Big Data (2) 2020-04-06 2024-03-18. Author is listed
  2. NEP-CMP: Computational Economics (2) 2020-04-06 2024-03-18. Author is listed
  3. NEP-PAY: Payment Systems and Financial Technology (1) 2020-04-06. Author is listed
  4. NEP-RMG: Risk Management (1) 2024-03-18. Author is listed

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