Out now: Credit Risk Management Solutions, 2024: Market Update and Vendor Landscape
As part of Chartis’ ongoing credit-focused research, this report examines use cases around technologies that include AI, ML, RPA and Big Data analytics, along with other RegTech supplements that financial institutions need to help them deal with credit risk frameworks and drive business value.
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@risk.net or view our subscription options here: http://subscriptions.risk.net/subscribe
You are currently unable to print this content. Please contact info@chartis-research.com to find out more.
You are currently unable to copy this content. Please contact info@chartis-research.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Printing this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@chartis-research.com
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Copying this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@chartis-research.com
More on Credit risk
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?
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.
Most read
- Coming soon: Pricing and Valuation Solutions, 2024: Market and Vendor Landscape
- The cost of regulatory reporting
- FRAML and beyond – fighting crime, the integrated way