#FinTech
/ Featured Publications
ESAs: The Work Programme 2025
A Two-sided Affair - Banks and Tech Firms in Banking
High-Level Roadmap for Adoption of T+1 in EU Securities Markets
Quantum Computing and the Financial System - Opportunities and Risks
Artificial Intelligence Act (AI Act)
Argo Magazine N.26 - Summer 2024
Basel Committee Publishes Report on the Digitalisation of Finance
Potential Competition Impacts from the Data Asymmetry between Big Tech Firms and Firms in Financial Services
Artificial Intelligence: Risks and Opportunities for the Banking System
How the Financial Authorities can Take Advantage of Artificial Intelligence
Argo Magazine N.25 - 2024
Stablecoins and Crypto Shocks
The EBA Consults on Guidelines on Redemption Plans under the Markets in Crypto-Assets Regulation
USA CFTC Releases Request for Comment on the Use of Artificial Intelligence in CFTC-Regulated Markets
ESAs Recommend Steps to Enhance the Monitoring of BigTechs’ Financial Services Activities
Market Structure of Cryptoasset Exchanges: Introduction, Challenges and Emerging Trends
The Future of Global Fintech - Towards Resilient and Inclusive Growth
Quantum Security for the Financial Sector - Informing Global Regulatory Approaches
EBA Issues Guidance to Crypto-Asset Service Providers to Effectively Manage their Exposure to ML/TF Risks
Decentralized Finance
IOSCO Finalises its Policy Recommendations for Decentralized Finance
Generative Artificial Intelligence in Finance
Asset Tokenization: Potential Applications
The Crypto Ecosystem: Key Elements and Risks
Digital Assets: A Regulatory Overview
EBA Follow-Up Report on the Use of Machine Learning for Internal Ratings-Based Models
Asset Tokenization - Potential and Challenges of a Disruptive Technology
Crypto-asset Service Providers Introduction on ML/TF Risk Factors Guidelines
Quantum Monte Carlo Option Pricing
Argo Magazine N.23 - 2023
CBDC - Exploring a New Digital World
CEPS - Definition of Artificial Intelligence
Real-Time Exposures and xVAs: a Neural Network Approach
Advancements in Bank Stress Tests: from Bayesian Averaging to Causal AI
Model Risk Management Principles and the Impact of Machine Learning Models
AI Risk Management Framework
Digital Operational Resilience Act - DORA
Argo Magazine N.22 - 2022
Machine Learning Framework
Bank of England – PRA: Model Risk Management Principles for Banks
Risk Attribution
Corporate Default Forecasting with Machine Learning
Explainable Artificial Intelligence: Interpreting Default Forecasting Models Based on Machine Learning
AI Fairness Addressing Ethical and Reliability Concerns in AI Adoption
EU Regulation on Artificial Intelligence
A Random Forest Approach to Evaluating NPL Porfolios
Machine Learning for IRB Models EBA/DP/2021/04
Causal AI: Not the AI You Use to Know
AI Fairness: Addressing Ethical and Reliability Concerns in AI Adoption
Argo Collection N.03 - 2021 - FinTech
European Commission - Regulation on Artificial Intelligence
The Use of AI and ML by Market Intermediaries and Asset Managers: IOSCO Final Report Review
EBA Analysis of RegTech in the EU Financial Sector: Deep Dives into RegTech Segments
A Quantization Overview to Credit Counterparty Risk
Big Data and Artificial Intelligence: Principles for the Use of Algorithms in Decision-making Processes
EBA Analysis of RegTech in the EU Financial Sector
Machine Learning and Model Risk Management
The Use of AI and ML by Market Intermediaries and Asset Managers
FinTechs and Challenger Banks: Old Business, Brand New Approach
Argo Magazine N.17 - 2019
Argo Magazine N.16 - 2019
BigTech and New Banking Landscape - Evolution, Benefits, Risks and Oversights
Argo Magazine N.15 - 2019
Maximizing Cumulative Prospect Utility for Target Annuity Investment Strategies