IDEAS home Printed from https://ideas.repec.org/p/bdi/opques/qef_554_20.html
   My bibliography  Save this paper

Credit risk statistical information of the Bank of Italy and the new AnaCredit data collection

Author

Listed:
  • Maria Di Noia

    (Banca d’Italia)

  • Davide Moretti

    (Banca d’Italia)

Abstract

This paper provides an overview of the statistical information on credit risk managed by the Bank of Italy. The Institute has a long tradition of systematic and detailed financial data collection. With specific reference to information on credit risk, the Bank of Italy has managed the Central Credit Register since the early 1960s and, more recently, introduced new data collections on credit risk primarily in response to specific supervisory needs. At international level, also due to the increasing demand for data subsequent to the global financial crisis of the last decade, the data and data collection systems of euro-area countries have become increasingly harmonized and granular. In this context, the introduction of the AnaCredit framework can be considered the main driver behind the spread of this ‘new paradigm’ of data collection, and may also prove to be a strong incentive for national and European Authorities to rationalize the reporting burden for reporting agents.

Suggested Citation

  • Maria Di Noia & Davide Moretti, 2020. "Credit risk statistical information of the Bank of Italy and the new AnaCredit data collection," Questioni di Economia e Finanza (Occasional Papers) 554, Bank of Italy, Economic Research and International Relations Area.
  • Handle: RePEc:bdi:opques:qef_554_20
    as

    Download full text from publisher

    File URL: https://www.bancaditalia.it/pubblicazioni/qef/2020-0554/QEF_554_20.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pagano, Marco & Jappelli, Tullio, 1993. "Information Sharing in Credit Markets," Journal of Finance, American Finance Association, vol. 48(5), pages 1693-1718, December.
    2. Redazione, 2018. "Segnalazioni," Economia & lavoro, Carocci editore, issue 1, pages 189-191.
    3. Redazione, 2018. "Segnalazioni," Economia & lavoro, Carocci editore, issue 3, pages 197-198.
    4. Jappelli, Tullio & Pagano, Marco, 2002. "Information sharing, lending and defaults: Cross-country evidence," Journal of Banking & Finance, Elsevier, vol. 26(10), pages 2017-2045, October.
    5. Ignazio Visco, 2018. "Banche e finanza dopo la crisi: lezioni e sfide," Moneta e Credito, Economia civile, vol. 71(282), pages 95-118.
    6. Redazione, 2018. "Segnalazioni," Economia & lavoro, Carocci editore, issue 2, pages 159-161.
    7. World Bank, 2011. "General Principles for Credit Reporting," World Bank Publications - Reports 12792, The World Bank Group.
    Full references (including those not matched with items on IDEAS)

    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.
    1. Riccardo De Bonis & Matteo Piazza, 2021. "A silent revolution. How central bank statistics have changed in the last 25 years," PSL Quarterly Review, Economia civile, vol. 74(299), pages 347-371.
    2. Notheisen, Benedikt & Weinhardt, Christof, 2019. "The blockchain, plums, and lemons: Information asymmetries & transparency in decentralized markets," Working Paper Series in Economics 130, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    3. Djimoudjiel, Djekonbe & T. Rostand, Dany Dombu & MBATINA NODJI, NDILENGAR, 2024. "What lessons does the COVID-19 pandemic teach us about banking liquidity and information share in the CEMAC zone?," MPRA Paper 119666, University Library of Munich, Germany, revised 17 Jan 2024.
    4. Baah Aye Kusi & Elikplimi Komla Agbloyor & Vera Ogeh Fiador & Kofi Achampong Osei, 2016. "Does Information Sharing Promote or Detract from Bank Returns: Evidence from Ghana," African Development Review, African Development Bank, vol. 28(3), pages 332-343, September.
    5. Christa Hainz, 2011. "Measuring Information Sharing in Credit Markets," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 9(1), pages 21-27, 05.
    6. Samuel Fosu & Albert Danso & Henry Agyei-Boapeah & Collins G. Ntim & Emmanuel Adegbite, 2020. "Credit information sharing and loan default in developing countries: the moderating effect of banking market concentration and national governance quality," Review of Quantitative Finance and Accounting, Springer, vol. 55(1), pages 55-103, July.
    7. Simplice A. Asongu, Nicholas M. Odhiambo, 2022. "Information for banking efficiency in Africa: evidence from income levels and legal origins," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 19(2), pages 251-274, December.
    8. Love, Inessa & Peria, Maria Soledad Martinez & Singh, Sandeep, 2013. "Collateral registries for movable assets : does their introduction spur firms'access to bank finance ?," Policy Research Working Paper Series 6477, The World Bank.
    9. Martin Brown & Christian Zehnder, 2007. "Credit Reporting, Relationship Banking, and Loan Repayment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(8), pages 1883-1918, December.
    10. Dana C. Andersen, 2016. "Credit Constraints, Technology Upgrading, and the Environment," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 3(2), pages 283-319.
    11. Bianchi, Milo & Bouvard, Matthieu & Gomes, Renato & Rhodes, Andrew & Shreeti, Vatsala, 2023. "Mobile payments and interoperability: Insights from the academic literature," Information Economics and Policy, Elsevier, vol. 65(C).
    12. Brei, Michael & Jacolin, Luc & Noah, Alphonse, 2020. "Credit risk and bank competition in Sub-Saharan Africa," Emerging Markets Review, Elsevier, vol. 44(C).
    13. Shusen Qi & Ralph De Haas & Steven Ongena & Stefan Straetmans & Tamas Vadasz, 2017. "Move a Little Closer? Information Sharing and the Spatial Clustering of Bank Branches," Swiss Finance Institute Research Paper Series 17-74, Swiss Finance Institute, revised Jun 2023.
    14. Djankov, Simeon & McLiesh, Caralee & Shleifer, Andrei, 2007. "Private credit in 129 countries," Journal of Financial Economics, Elsevier, vol. 84(2), pages 299-329, May.
    15. Alberto Bennardo & Marco Pagano & Salvatore Piccolo, 2015. "Multiple Bank Lending, Creditor Rights, and Information Sharing," Review of Finance, European Finance Association, vol. 19(2), pages 519-570.
    16. Laeven, Luc & Levine, Ross & Michalopoulos, Stelios, 2015. "Financial innovation and endogenous growth," Journal of Financial Intermediation, Elsevier, vol. 24(1), pages 1-24.
    17. Jin-Hyuk Kim & Liad Wagman, 2015. "Screening incentives and privacy protection in financial markets: a theoretical and empirical analysis," RAND Journal of Economics, RAND Corporation, vol. 46(1), pages 1-22, March.
    18. Daniel Monte & Roberto Pinheiro, 2017. "Costly Information Intermediation as a Natural Monopoly," Working Papers (Old Series) 1721, Federal Reserve Bank of Cleveland.
    19. Laptieva, Nataliia, 2016. "Information sharing and the volume of private credit in transition: Evidence from Ukrainian bank-level panel dataAuthor-Name: Grajzl, Peter," Journal of Comparative Economics, Elsevier, vol. 44(2), pages 434-449.
    20. Hainz, Christa, 2009. "Creditor passivity: The effects of bank competition and institutions on the strategic use of bankruptcy filings," Journal of Comparative Economics, Elsevier, vol. 37(4), pages 582-596, December.

    More about this item

    Keywords

    AnaCredit; Central Credit Register; credit risk; non-performing loans; granular surveys; statistics;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    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_554_20. 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.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.