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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Working groups, surveys & other benchmarking activities


Given the maturity of models for credit risk at many of our member banks, Global Credit Data has in recent years focussed more on studies, surveys and working group activities intended to allow members to benchmark their credit risk models and drivers.

On our own and in conjunction with financial industry bodies, Global Credit data conducts surveys and performs comparisons and analyses to help members better understand their own methods and estimates.

Members’ needs for discussion of best practice in data, modelling and risk measurement is well served by ad hoc working groups.  Often the key benefit of these groups is the discussion and cross information about best practices, while some will also produce an output paper.

Recently completed working groups covered the topics of:

  • Stresstesting and CCAR modelling (Framework, Processes, Modelling techniques)
  • Modelling LGD for Commercial Real Estate
  • Modelling LGD for Project Finance
  • Modelling Downturn LGD
  • Discount Rate in LGD modelling
  • Segmentation of LGD models
  • Trade & Commodity Finance 
  • Banks and Counterparties in Financial Markets

The following working groups are at the moment active within Global Credit Data.  For some working groups non member participation is allowed.  Please consult Global Credit Data using the contact form should you be interested.


    IFRS 9 / CECL impairment models
    This working group enables knowledge exchange & discussions on modelling approaches for impairments based on (life-time) expected losses. The most recent activity was to initiate a benchmarking study where banks compared their ECL estimates, PDs and LGDs for various hypothetical borrowers under different scenarios
    Chair: tbc
    Contact: Nate Royal, Executive


    This working group enables knowledge exchange & discussions on validation techniques, processes and policies.
    Chair: tbc
    Contact: Nina Brumma, Executive


    LGD Reference Model
    This working group supports the development of a LGD Reference Model.
    Chair: Stephan Jortzik (ANZ), Michael Jacobs (PNC), Patrik Gunnarson (SEB)

    Supported by: FCG

    Contact: Olivier Plaetevoet, Executive


    Support for Compliance
    This working group defines actions to support members in demonstrating the compliance of using GCD data with most recent regulations.
    Chair: tbc
    Contact: Olivier Plaetevoet, Executive




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