Machine Learning Methods: Potential for Deposit Insurance

Defina, Ryan (2021): Machine Learning Methods: Potential for Deposit Insurance. Published in: International Association of Deposit Insurers Fintech Brief

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.

• Item Type: MPRA Paper
• Language: English
• Keywords: deposit insurance; machine learning
• Subjects: G - Financial Economics > G2 - Financial Institutions and Services > G21 - Banks ; Depository Institutions ; Micro Finance Institutions ; Mortgages

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