Why more is not always better in the world of credit
Advanced analytics and AI promise revolutions everywhere, but real-world constraints abound. This is notably true in the world of credit scoring, which needs to be understandable, is often slow to give out real-world results, and can be muddied by the addition of unnecessary factors.
The Big Data revolution
More on Credit risk
Complacent RiskTech vendors are sleepwalking into a new, deregulated reality
Tectonic regulatory and legislative upheaval promises to transform financial institutions’ RiskTech spending. As compliance-based revenue streams slow due to deregulation, solution vendors will need to adopt more business risk-focused strategies for their product lines. Chartis Chief Researcher Sid Dash considers the likely impact of growing deregulation, and how vendors can prepare.
Out now: Credit Risk Management Solutions, 2024: Market Update and Vendor Landscape
This report examines use cases around technologies including AI, ML, RPA and Big Data analytics, along with other RegTech supplements that financial institutions need.
Tackling solvency and liquidity issues in Schrödinger's Economy
Central banks’ actions during COVID-19 have been broadly positive, but underlying solvency and credit crises are major threats that will reveal themselves as the economy revives. To address the issues, financial firms can employ a host of modeling and…
Breaking the doom loop: the danger of self-fulfilling prophecies in modern credit risk
The ability to distribute trustworthy credit is a societal cornerstone. But what happens when traditional credit scoring methodologies aren’t available? Will new 'advanced' credit models in emerging markets be self-fulfilling prophecies?