IDEAS home Printed from https://ideas.repec.org/h/bis/bisifc/67-01.html

Generative artificial intelligence in central banking

In: Data science in central banking

Author

Listed:
  • Douglas Kiarelly Godoy de Araujo
  • Giuseppe Bruno
  • Adam Cap
  • Juri Marcucci
  • Rafael Schmidt
  • Olivier Sirello
  • Bruno Tissot

Abstract

No abstract is available for this item.

Suggested Citation

  • Douglas Kiarelly Godoy de Araujo & Giuseppe Bruno & Adam Cap & Juri Marcucci & Rafael Schmidt & Olivier Sirello & Bruno Tissot, 2026. "Generative artificial intelligence in central banking," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Data science in central banking, volume 67, Bank for International Settlements.
  • Handle: RePEc:bis:bisifc:67-01
    as

    Download full text from publisher

    File URL: https://www.bis.org/ifc/publ/ifcb67_01_rh.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Archana Dilip & Zukiswa Mdingi & Olivier Sirello & Bruno Tissot, 2026. "The evolving role of central bank statistics," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Statistics and beyond: new data for decision making in central banks, volume 66, Bank for International Settlements.
    2. Aprigliano, Valentina & Emiliozzi, Simone & Guaitoli, Gabriele & Luciani, Andrea & Marcucci, Juri & Monteforte, Libero, 2023. "The power of text-based indicators in forecasting Italian economic activity," International Journal of Forecasting, Elsevier, vol. 39(2), pages 791-808.
    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. Luo, Rui & Liu, Jinpei & Chen, Peipei & Luo, Jian, 2025. "Enhancing carbon price robust forecasting: A text-driven method utilizing weighted interval-joint quadratic support vector regression," Energy Economics, Elsevier, vol. 148(C).
    2. Kronenberg, Philipp, 2024. "A High-Frequency GDP Indicator for Switzerland," EconStor Preprints 330303, ZBW - Leibniz Information Centre for Economics.
    3. Catalano, Michele & Forni, Lorenzo, 2025. "A news-based macro uncertainty index for Italy," Journal of International Money and Finance, Elsevier, vol. 157(C).
    4. Claudia Pacella, 2021. "Dating the euro area business cycle: an evaluation," Temi di discussione (Economic working papers) 1332, Bank of Italy, Economic Research and International Relations Area.
    5. Saiz, Lorena & Ashwin, Julian & Kalamara, Eleni, 2021. "Nowcasting euro area GDP with news sentiment: a tale of two crises," Working Paper Series 2616, European Central Bank.
    6. Jonathan Huntley & Valentina Michelangeli & Felix Reichling, 2021. "What drives investors to chase returns?," Temi di discussione (Economic working papers) 1334, Bank of Italy, Economic Research and International Relations Area.
    7. Audinga Baltrunaite & Mario Cannella & Sauro Mocetti & Giacomo Roma, 2025. "Board composition and performance of state-owned enterprises: quasi-experimental evidence," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 41(1), pages 239-263.
    8. Tim Köhler, 2025. "Do the Sentiments of Forecasters Help Predict Recessions? Evidence from Germany," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 21(2), pages 185-212, December.
    9. Lorenzo Bencivelli & Beniamino Pisicoli, 2021. "Foreign investors and target firms’ financial structure: cavalry or locusts?," Temi di discussione (Economic working papers) 1327, Bank of Italy, Economic Research and International Relations Area.
    10. Mirjana Čižmešija & Zrinka Lukač & Marina Matošec, 2025. "Gaining confidence in the revised consumer confidence indicator: nonlinear optimization approach," Empirical Economics, Springer, vol. 69(1), pages 517-547, July.
    11. Valentina Michelangeli & Eliana Viviano, 2024. "Can Internet Banking Affect Households' Participation in Financial Markets and Financial Awareness?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(4), pages 705-739, June.
    12. Claudia Voicila & Daniel Serbu, 2026. "A natural language processing toolbox for the National Bank of Romania," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Data science in central banking, volume 67, Bank for International Settlements.
    13. Olivier de Bandt & Jean-Charles Bricongne & Julien Denes & Alexandre Dhenin & Annabelle De Gaye & Pierre-Antoine Robert, 2023. "Using the Press to Construct a New Indicator of Inflation Perceptions in France," Working papers 921, Banque de France.
    14. Sun, Weixin & Wang, Yong & Zhang, Li & Chen, Xihui Haviour & Hoang, Yen Hai, 2025. "Enhancing economic cycle forecasting based on interpretable machine learning and news narrative sentiment," Technological Forecasting and Social Change, Elsevier, vol. 215(C).
    15. Mathilde Gerardin & Martial Ranvier, 2021. "Enrichment of the Banque de France s monthly business survey: lessons from textual analysis of business leaders comments," Working papers 821, Banque de France.
    16. Valentina Aprigliano & Guerino Ardizzi & Alessia Cassetta & Alessandro Cavallero & Simone Emiliozzi & Alessandro Gambini & Nazzareno Renzi & Roberta Zizza, 2021. "Exploiting payments to track Italian economic activity: the experience at Banca d’Italia," Questioni di Economia e Finanza (Occasional Papers) 609, Bank of Italy, Economic Research and International Relations Area.
    17. Claudia Maurini & Alessandro Schiavone, 2021. "The catalytic role of IMF programs," Temi di discussione (Economic working papers) 1331, Bank of Italy, Economic Research and International Relations Area.

    More about this item

    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:bis:bisifc:67-01. 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: Martin Fessler (email available below). General contact details of provider: https://edirc.repec.org/data/bisssch.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.