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 e 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