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.


Learn More

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).

Learn More

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.

Learn More

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.

Learn More

-> menu code <-

GCD Data Quality Dashboard 2023 – available

by | Feb 21, 2023 | 2023, News, Public

  1. Home
  2. /
  3. News
  4. /
  5. News
  6. /
  7. GCD Data Quality Dashboard...

Since 2004, GCD has continuously reinforced a framework that is used to measure and monitor Data Quality (DQ). The objective is to achieve high DQ and compliance for the GCD pooled data, as required by global regulations (BCBS 239, ECB Guide to internal models, Fed SR1107).

Data Quality Reports are made available on a yearly basis.

The dashboards provide the following information for each reporting period, identifying the overall data quality within the GCD LGD-EAD Data Pool:

  • Data Quality Scores per dimension
  • Freshness of the data
  • Member similarity assessments on key risk drivers
  • Overview of achieved data volumes
  • Trends on data quality metrics
  • Brief narrative summarizing the key topics

Download the Data Quality Dashboards: