Machine Learning Methods: Potential for Deposit Insurance
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- Defina, Ryan, 2021. "Machine Learning Methods: Potential for Deposit Insurance," MPRA Paper 110712, University Library of Munich, Germany.
References listed on IDEAS
- Chakraborty, Chiranjit & Joseph, Andreas, 2017. "Machine learning at central banks," Bank of England working papers 674, Bank of England.
- International Association of Deposit Insurers, 2014. "IADI Core Principles for Effective Deposit Insurance Systems," IADI Standards 14-11, International Association of Deposit Insurers.
- Giuseppe Loiacono & Edoardo Rulli, 2022. "ResTech: innovative technologies for crisis resolution," Journal of Banking Regulation, Palgrave Macmillan, vol. 23(3), pages 227-243, September.
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Cited by:
- Van Roosebeke, Bert & Defina, Ryan, 2021.
"Central Bank Digital Currencies: The Motivation,"
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- Bert Van Roosebeke & Ryan Defina, 2021. "Central Bank Digital Currencies: The Motivation," IADI Fintech Briefs 5, International Association of Deposit Insurers.
- 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; bank resolution;JEL classification:
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
- G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2022-06-20 (Big Data)
- NEP-CMP-2022-06-20 (Computational Economics)
- NEP-IAS-2022-06-20 (Insurance Economics)
- NEP-RMG-2022-06-20 (Risk Management)
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