2.2 Understanding the performance of machine learning models.pdf

EBA-related study analyzing machine learning models for credit default prediction, comparing their performance with traditional methods like Logistic Regression. Evaluates predictive power, calibration, and regulatory capital savings under the IRB approach, highlighting economic benefits and supervisory challenges of ML adoption in banking.

2.3 Pirates without Borders v2.pdf

Analysis by the Federal Reserve on the 2017 NotPetya cyberattack, examining its global spread through supply chains, economic impact on affected firms, and the role of bank credit in mitigating disruptions to revenues, trade credit, and investment.