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Opinion on the use of innovative solutions by credit and financial institutions (JC-2017-81).pdf
Opinion on the use of innovative solutions by credit and financial institutions (JC-2017-81)
PR on Opinion on the use of innovative solutions by credit and financial institutions in the customer due diligence process.pdf
Press release on Opinion on the use of innovative solutions by credit and financial institutions in the customer due diligence process
Public hearing on 2019 Benchmarking ITS
ESAs publish Opinion on the use of innovative solutions in the customer due diligence process
The Joint Committee of the three European Supervisory Authorities (EBA, EIOPA and ESMA - ESAs) published today an Opinion on the use of innovative solutions by credit and financial institutions when complying with their customer due diligence (CDD) obligations. This Opinion is part of the ESAs' wider work on creating a common understanding on the responsible and effective use of innovation by credit and financial institutions, which can enhance their Anti-Money Laundering and Countering the Financing of Terrorism (AML/CFT) controls.
Management Board meeting
Public hearing on Consultation Paper on the draft RTS on the methods of Prudential Consolidation
Public hearing on EBA RTS on methods of prudential consolidation.pdf
Presentation
Eligibility criteria grid.docx
Eligibility criteria grid.docx
Vacancy Notice.pdf
European Banking Authority (EBA) vacancy notice for a Training Specialist in the Policy Coordination Unit to design and deliver training programs, develop e-learning courses, and promote supervisory convergence across EU banking authorities.
Vacancy notice.pdf
EBA vacancy notice for Head of Unit (Corporate Support) in London, covering office management, relocation, events, and operational support. Requires 12-13 years of experience, team leadership, and EU/EEA citizenship. Applications closed February 2018.
Options and national discretions
Article 33 of the LCR Delegated Act - 2nd list.xlsx
Article 33 of the LCR Delegated Act
Session 2 - Slides - Predicting Bank Insolvencies using ML.pdf
EBA 2017 workshop presentation on using machine learning (e.g., Random Forests) to predict bank insolvencies, focusing on profitability, capital, and asset quality with US and European bank data for model testing.
Session 2 - Predicting bank insolvencies using machine learning techniques.pdf
Study by Bank of Greece researchers evaluating machine learning techniques, particularly Random Forests, to predict bank insolvencies using US and European data under the CAMELS framework – proposes an Early Warning System to enhance the Supervisory Review and Evaluation Process (SREP) for proactive banking supervision.
Training
Public hearing on Pillar 2 Package 160118.pdf
Presentation
Report on the implementation of the EBA Guidelines on methods for calculating contributions to DGS.pdf
Report on the implementation of the EBA Guidelines on methods for calculating contributions to DGS
Session 2 - Does High Profitability Hamper Stability for EU banks.pdf
ACPR study analysing whether excessively high profitability increases bank distress risk in Europe (2001-2014), challenging the assumption that profitability always enhances financial stability.