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Webinar: Learn to sample GCD data for quality and representativeness

July 9, 2019 @ 2:00 pm - 3:00 pm UTC+1

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Beginning of the year, GCD released its second authoritative report on loss given default (LGD) for large corporate borrowers with a turnover above €50m. According to the data, banks recover, on average, 76% of debts owed by large corporate borrowers after default. This is significantly higher than the 55% recovery rate implemented by the Basel Committee on Banking Supervision for corporate exposure under the foundation IRB approach.

The findings are based on a reference data set comprising 10,737 defaulted borrowers and 18,465 facilities, from 58 lenders worldwide. The fact that the findings are in line with the previous report in 2018 confirms the stability and consistency of GCD’s data sets and the reliability of the long-term estimates.

GCD supports its member banks with protocols, toolings and detailed validation rules, to use the data as efficient as possible. We invite all (new) data users to join our next webinar on July 9th 2019 at 2pm CEST / 8am EST / 10pm AEDT detailing

  • How to create a reference data set with GCD data,
  • How to best address the aspect of representativity and data quality
  • How to make use of the existing SAS tooling and validation rule table

 

Login details: 

Meeting URL: 

https://globalcreditdata.zoom.us/j/703040050

Join by Phone: 

NL +31 (0) 20 241 0288 or +31 (0) 70 808 1008

US: +1 669 900 6833 or +1 929 436 2866

Meeting ID: 703 040 050

Further international numbers: https://globalcreditdata.zoom.us/zoomconference?m=_meoWyE9zcxHPmq7tMe7L_lr_puNua4X

 

 

 

 

 

 

 

 

 

Contact person:

Daniela Thakkar

Location:

Zoom Call

Details

Date:
July 9, 2019
Time:
2:00 pm - 3:00 pm UTC+1