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.

Access the Library 

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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LGD & EAD Platform

What we do

GCD is collecting data related to credit failures (default) dating back to the early 1980’s, allowing for meaningful statistics in terms of type of borrower, time and size of exposure at default and collateral recovery rates.

Data is collected and analysed separately various Basel 2 asset classes and supports various definitions of LGD and credit conversion factors (CCF).

The LGD and EAD parameters are most demanding in terms of multiple and precise data on the obligor, the loan and surrounding circumstances. At the current stage, Global Credit Data offers a mature structure for LGD/EAD pooling, which the member banks can and do adopt in their internal databases. Global Credit Data is internationally recognized as the standard for LGD and EAD data collection.


How can the database be embedded in your regular processes

Some concrete use cases are:

  • Identify risk-drivers on a more diverse dataset (e.g. Segmentation, LTV, Time-to-Recovery, …)
  • Identify macro-economic dependencies of LGD and EAD
  • Prove the correct LGD levels for Low Default Portfolios (e.g. banks, shipping)
  • Correctly calibrate downturn or stressed LGDs from long time series
  • Reduce uncertainty add-ons for lack of data
  • Benchmark historical losses with your modelled forward-looking expected losses under IFRS 9 / CECL
  • Peer benchmark the LGD estimates underlying your pricing models with loss rates from a global and diverse dataset