- About GCD
- Data Pooling: PD & LGD
- Library: Research & Publications
- Utility: Analytics & Products
- Services: Benchmarking
GCD is a unique data consortium that owns banks internal data for both PD and LGD. GCD’s data pools support the key parameters of banks’ credit risk modelling: Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD).
GCD’s library gives access to wide variety of publications on risk related topics. Global Credit Data members work together to analyse the data and discuss methodology issues. GCD has published numerous papers and is actively promoting academic research on the data collected.
Members not only benefit from exclusive rights and access to credit databases and analytics, but also from knowledge and research facilitation possible via the unique industry association.
Through a variety of forums such as workshops, webinars and surveys, GCD is an active industry participant facilitating the discussion in key strategic areas.
Global Credit Data collects raw data from its members and distributes it back to them for use in their own analysis and modelling. GCD supports its members by providing a flexible high-end tool on the data pool: the GCD Visual Analyzer. Member banks can create dynamic Reference Data Sets and generate instant views on the data.
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WG IFRS 9 #11/2017: Summary BCBS TFP meeting
October 19, 2017 @ 4:00 pm - 5:00 pm UTC+1
Dear WG IFRS 9 members,
as communicated earlier, GCD has been invited by the Basel Committee’s Task Force on Expected Loss Provisioning to present on data and methods used in IFRS 9 / CECL provision modelling.
The meeting took place on Tuesday, October 10th, 2017, with more than 25 regulators present worldwide (incl. Fed, OCC, OSFI, European Commission, EBA, PRA, Bafin, ..). Also all Big 4 accounting firms have been present as well as the IIF and various representatives from banks.
Our presentation (attached for your reference) was very well received, being often cited for the remainder of the day and with regulators praising the industry for taking the initiative to explore data and methods themselves. Please find attached also my personal notes of that day.
I also attach the material presented by Ernst & Young . In case you are interested in the material of the IIF on procyclicality please contact Hassan Haddou (hhaddou@iif.com).
The meeting came at a time, where we are busy with our IFRS 9 Benchmarking study. The regulators stressed the importance of getting good insights in what drives the variability between the banks and appreciated the initiative of the banks. Just in case your bank is not joining yet (at the moment 25 banks have indicated their participation), please here a introduction in the study.
We also welcome all feedback and comments on that day and invite you to a next meeting on THURSDAY, OCTOBER19th, 2017 at 0400 pm CEST (=10 am EST), where we can address all your questions. The link below books the meeting in your agenda.
If you cannot join the meeting but are interested please feel free to give me a call or write me an email. Also please feel free to pass the information along inside your bank.
Best regards
Daniela
+ 31 6 395 503 22
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Thursday, October 19, 2017
4:00 pm | Europe Summer Time (Amsterdam, GMT+02:00) | 1 hr
Meeting number (access code): 959 387 607
Meeting password: iceberg
Link to start the meeting:
https://pecdc.webex.com/pecdc/j.php?MTID=m2ec9998a50174a7281663677dd359ba8
Link to book the meeting in your agenda:
https://pecdc.webex.com/pecdc/j.php?MTID=m06077a5ff50fbd37faf8117c712386ce
Join by phone
+1 631 267 4890 USA/Canada toll
+31 20794 7996 Netherlands toll
Global Call-in numbers:
https://pecdc.webex.com/pecdc/globalcallin.php?serviceType=MC&ED=538852667&tollFree=0
Contact person:
Location:
Webex call