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Experiences, essentials and perspectives for data science in the hearts of central banks and supervisors: a case study of the Dutch central bank

In: Data science in central banking: enhancing the access to and sharing of data

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  • Patty Duijm
  • Iman van Lelyveld
Abstract
No abstract is available for this item.

Suggested Citation

  • Patty Duijm & Iman van Lelyveld, 2025. "Experiences, essentials and perspectives for data science in the hearts of central banks and supervisors: a case study of the Dutch central bank," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Data science in central banking: enhancing the access to and sharing of data, volume 64, Bank for International Settlements.
    • Handle: RePEc:bis:bisifc:64-05
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    File URL: https://www.bis.org/ifc/publ/ifcb64_05.pdf
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    References listed on IDEAS

    as
    1. Sebastian Doerr & Leonardo Gambacorta & José María Serena Garralda, 2021. "Big data and machine learning in central banking," BIS Working Papers 930, Bank for International Settlements.
    2. Dorinth van Dijk & Jasper de Winter, 2023. "Nowcasting GDP using tone-adjusted time varying news topics: Evidence from the financial press," Working Papers 766, DNB.
    3. Hüser, Anne-Caroline & Kok, Christoffer, 2019. "Mapping bank securities across euro area sectors: comparing funding and exposure networks," Working Paper Series 2273, European Central Bank.
    4. Jean-Charles Bricongne & Baptiste Meunier & Thomas Pical, 2021. "Can satellite data on air pollution predict industrial production?," Working papers 847, Banque de France.
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