AI, Algorithmic Trading Governance, and Market Manipulation Regulation
AI, Algorithmic Trading Governance, and Market Manipulation Regulation
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This major research project has been the subject of my PhD dissertation. It investigates the economic and ethical-legal implications resulting from AI, particularly ML, adoption in algorithmic trading. The project led to a series of publications in law journals and edited books.
This major research project has been the subject of my PhD dissertation. It investigates the economic and ethical-legal implications resulting from AI, particularly ML, adoption in algorithmic trading. The project led to a series of publications in law journals and edited books.
Research output
Research output
Publication on the University of Pennsylvania Journal of International Law: 'Machine Learning, Market Manipulation and Collusion on Capital Markets: Why the "Black Box Matters"' (2021)
Publication on the University of Pennsylvania Journal of International Law: 'Machine Learning, Market Manipulation and Collusion on Capital Markets: Why the "Black Box Matters"' (2021)
Publication on the Computer Law & Security Review: 'AI trading and the limits of EU law enforcement in deterring market manipulation' (2022)
Publication on the Computer Law & Security Review: 'AI trading and the limits of EU law enforcement in deterring market manipulation' (2022)
Book Chapter, 'The Algorithmic Future of EU Market Conduct Supervision: A Reality Check', in the Edited Book by the EBI Young Researchers Group (2023)
Book Chapter, 'The Algorithmic Future of EU Market Conduct Supervision: A Reality Check', in the Edited Book by the EBI Young Researchers Group (2023)
Book Chapter, 'Regulating AI Trading from an AI Lifecycle Perspective', in the Edited Book by N. Remolina & A. Gurrea-Martinez (2023)
Book Chapter, 'Regulating AI Trading from an AI Lifecycle Perspective', in the Edited Book by N. Remolina & A. Gurrea-Martinez (2023)
Good Administration in AI-Enhanced Banking Supervision
Good Administration in AI-Enhanced Banking Supervision
Within the scope of the LFT programme, this project aims to explore the institutional and legal implications of the adoption of Machine Learning and Data Analytics technology in EU banking supervision. The project was awarded a scholarship under the ECB Legal Research Programme 2022.
Within the scope of the LFT programme, this project aims to explore the institutional and legal implications of the adoption of Machine Learning and Data Analytics technology in EU banking supervision. The project was awarded a scholarship under the ECB Legal Research Programme 2022.
The EBI Working Paper, 'Navigating the Legal Landscape of AI-Enhanced Banking Supervision: Protecting EU Fundamental Rights and Ensuring Good Administration', is available free of charge on SSRN. A substantially revised version, titled 'Good Administration in AI-Enhanced Banking Supervision: A Risk-based Approach'—not yet available online—is forthcoming in the Columbia Journal of European Law.
Past Contributions and Work in Progress
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