Risk Modeling is more important than ever: Find out what your peers are doing
The world is facing an uncertain time. Economic growth and/or recovery rates are uncertain, default rates are uncertain and the rate of credit losses on those defaults is uncertain.
Even the right way to model these risks is not certain.
Global Credit Data has released today the Recovery Rate Dashboards for Corporates, Banks and Sovereign defaults. They provide an instant insight into observed recovery levels and other key benchmarks for various exposure classes, industry sectors and collateral types.
Click here to access the GCD Recovery Rate Dashboards.
As banks are adjusting their pandemic stress-tests GCD stands ready to run relevant drill-downs and analytics through the data to provide any insights that could help the industry.
Global Credit Data’s PD benchmarking report shows that bank default ratios for global corporate debt have dropped from 1.12% to 0.73% since 2016. On the face of it, this is good news, but could it be masking a corporate debt bubble?
In 2011, the Basel Committee considered some early data from the International Chamber of Commerce Trade Register, suggesting it did not provide sufficient analytical evidence for reducing the CCF in the risk-based approach below 20%.
Our newest report on CCF for Performance Guarantees and Claims – evidence from ICC and GCD, provides new evidence of an average CCF of less than 10%, confirming longstanding claims that the Basel figure might be too conservative.
What do you think? Are trade finance capital requirements too high?
Global Credit Data’s second IFRS 9 benchmarking report confirms banks’ expected credit loss estimates vary by at least factor 4
Global Credit Data, a not-for-profit data-collection initiative jointly owned by more than 50 leading global banks, has today released its second IFRS 9 benchmarking report, with the results highlighting a need for a greater number of banks to participate in the benchmarking process.
