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Machine Learning Methods: Potential for Deposit Insurance

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  • Defina, Ryan

Abstract

The field of deposit insurance is yet to realise fully the potential of machine learning, and the substantial benefits that it may present to its operational and policy-oriented activities. There are practical opportunities available (some specified in this paper) that can assist in improving deposit insurers’ relationship with the technology. Sharing of experiences and learnings via international engagement and collaboration is fundamental in developing global best practices in this space.

Suggested Citation

  • Defina, Ryan, 2021. "Machine Learning Methods: Potential for Deposit Insurance," MPRA Paper 110712, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:110712
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    References listed on IDEAS

    as
    1. Chakraborty, Chiranjit & Joseph, Andreas, 2017. "Machine learning at central banks," Bank of England working papers 674, Bank of England.
    2. Giuseppe Loiacono & Edoardo Rulli, 2022. "ResTech: innovative technologies for crisis resolution," Journal of Banking Regulation, Palgrave Macmillan, vol. 23(3), pages 227-243, September.
    3. International Association of Deposit Insurers, 2014. "IADI Core Principles for Effective Deposit Insurance Systems," IADI Standards 14-11, International Association of Deposit Insurers.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Van Roosebeke, Bert & Defina, Ryan, 2021. "Central Bank Digital Currencies: The Motivation," MPRA Paper 111006, University Library of Munich, Germany.
    2. Edward Garnett & Rachel Youssef & Daniel Hoople, 2022. "Introductory Brief (Part II): Opportunities for Deposit Insurers (DepTech)," IADI Fintech Briefs 8, International Association of Deposit Insurers.

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    More about this item

    Keywords

    deposit insurance; machine learning;

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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