Artificial intelligence and systemic risk
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DOI: 10.1016/j.jbankfin.2021.106290
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- Danielsson, Jon & Macrae, Robert & Uthemann, Andreas, 2022. "Artificial intelligence and systemic risk," LSE Research Online Documents on Economics 111601, London School of Economics and Political Science, LSE Library.
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- Amadxarif, Zahid & Brookes, James & Garbarino, Nicola & Patel, Rajan & Walczak, Eryk, 2019. "The language of rules: textual complexity in banking reforms," Bank of England working papers 834, Bank of England.
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- Arnoud V. den Boer & Janusz M. Meylahn & Maarten Pieter Schinkel, 2022. "Artificial Collusion: Examining Supracompetitive Pricing by Q-learning Algorithms," Tinbergen Institute Discussion Papers 22-067/VII, Tinbergen Institute.
- Buckmann, Marcus & Haldane, Andy & Hüser, Anne-Caroline, 2021. "Comparing minds and machines: implications for financial stability," Bank of England working papers 937, Bank of England.
- Hassan H. H. Aldboush & Marah Ferdous, 2023. "Building Trust in Fintech: An Analysis of Ethical and Privacy Considerations in the Intersection of Big Data, AI, and Customer Trust," IJFS, MDPI, vol. 11(3), pages 1-18, July.
- Jon Danielsson & Andreas Uthemann, 2023. "On the use of artificial intelligence in financial regulations and the impact on financial stability," Papers 2310.11293, arXiv.org, revised Feb 2024.
- Anil Savio Kavuri & Alistair Milne, 2019. "FinTech and the future of financial services: What are the research gaps?," CAMA Working Papers 2019-18, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
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JEL classification:
- F3 - International Economics - - International Finance
- G3 - Financial Economics - - Corporate Finance and Governance
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