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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Save the Date – GCD Conference 2022

November 7 - November 8


Save The Date! 7-8 November

GCD will host an in-person conference in London.

Topics we will touch on:

  • A CRO’s perspective on the future of risk management
  • Feedback from the Regulator
  • Credit Risk modelling experiences
  • Managing Uncertainty: Advanced Analytics, Model Risk& Stress Testing
  • The future of Specialised Lending: what lies ahead
  • Basel III landscape: What is left for modelling?
  • Modernizing stress testing - a future perspective•Evolving trends in credit risk


Agenda:  Agenda GCD Conference 2022_UK_v3

 Invitation: GCDInvitationConference_2022_v5


November 7
November 8
Event Tags:


Izelle Kirsten



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