Machine Learning Methods: Potential for Deposit Insurance

Ryan Defina

No 3, IADI Fintech Briefs from International Association of Deposit Insurers

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.

Keywords: deposit insurance; bank resolution (search for similar items in EconPapers)
JEL-codes: G21 G33 (search for similar items in EconPapers)
Date: 2021-09
New Economics Papers: this item is included in nep-big, nep-cmp, nep-ias and nep-rmg
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Citations: View citations in EconPapers (2)

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Working Paper: Machine Learning Methods: Potential for Deposit Insurance (2021)
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Persistent link: https://EconPapers.repec.org/RePEc:awl:finbri:3

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