GCD's Mission is to help banks understand and model credit risks. The comprehensive data pools are collected over a decade and distributed back to members for their own research and modelling.


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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).

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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.

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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.

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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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Webinar: Learn to sample GCD data for quality and representativeness

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


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: 


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


Zoom Call


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