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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PD Subcommittee #5/2018: Discussion data return

November 13, 2018 @ 3:00 pm - 4:00 pm UTC+1

Dear members of the PD Subcommittee, 

we would like to invite you to our next PD Subcommittee on November 13th at 3pm CET (=9am EST). 

Focus of the meeting will be to discuss the data return H1/2018 which we will send out to members next week (for banks with more urgency this week) . 

Please find the agenda attached as well as the minutes from the last meeting. 

In case of any questions, please feel free to let us know. 

Looking forward to speak to you on November 13th, 2018. 

Michael & Daniela


Meeting details

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Meeting ID:

361 046 562

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November 13, 2018
3:00 pm - 4:00 pm UTC+1
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