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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Kick-off meeting “LGD Reference Model”

In 2018, GCD has published for the first time its LGD Report Large Corporate – examining the Loss Given Default (LGD) for banks lending to corporate borrowers with a turnover of more than €50m. The report finds that banks, on average, recover 75% of debts owed by large corporate borrowers after default and confirms the hitherto untested principle that seniority and collateral drive low rates of LGD. Following this, we now move into a new phase.  GCD has partnered with FCG to help banks to benchmark their LGD models with a reference model to be built on GCD data.  The work will include Building a RDS on GCD's increasing data set Exploration of traditional modelling techniques (to identify drivers of LGD) Applying machine learning techniques Discussion on the requirements of a good challenger model/method to be embedded in banks' processes Analysing unsecured as well as secured facilities, including different kinds of collateral  Publication  Members have been invited to join the kick-off meeting and share their view on the concrete deliverables and how this working group should be run in order to ensure an outcome which is useful for members and publishable.  The meeting has been recorded and the recording is available here.  Location:Zoom call

Meeting 1 Working Group LGD Reference Model

Meeting 1 Working Group LGD Reference Model Agenda: Introduction Replication of the tables and graphs in GCD LGD Report LC 2019 Baseline model Next steps Aganda:https://www.globalcreditdata.org/wp-content/uploads/2019/06/working_group_lgd_reference_model.ics

Special Working Group LGD Reference Model (24/6/2019)

Special Working Group LGD Reference Model Agenda: Extension of the scope of the Working Group to include all FAC. Aganda:https://www.globalcreditdata.org/wp-content/uploads/2019/06/special_wg_session_lgd_ref_model_.ics

Special Working Group LGD Reference Model (15/7/2019)

Dear LGD reference model WG members, Since two weeks, we’ve had discussions with FCG, Pubudu and the chairs of the WG. The situation is now clarified in that the extension would require a delay of minimum 6 weeks with risks regarding the validity of applying the LC RDS onto this new scope. Therefore, it is asked to vote pro or cons the extension of the scope. Please vote by email by replying to this email to olivier.plaetevoet@globalcreditdata.org or by attending the last special WG this Monday July 15th at 2pm-2:30pm CET / 8am-8:30am EDT / 10pm-10:30pm AEST  .   Detailed information: Arguments for the rescoping: a) The current study is based on the assumption that the Large Corporate segmentation is representative for LGD modelling. Basing on this assumption may lead to inaccurate results. b) The study is not relevant for banks that don’t use the Basel FAC segmentation (eg. Canadian banks).   Arguments against the rescoping: a) An estimated delay of minimum 6 weeks will occur given that we need to rescope from a LC to a total scope. It means Modelling done by mid-September and Documentation done by mid-October. This planning doesn’t take into consideration the definition of a […]

Working Group LGD Reference Model (September 24, 2019)

Working Group LGD Reference Model Agenda: Introduction Data preparation Reference model development Single-stage results Aganda:https://www.globalcreditdata.org/wp-content/uploads/2019/09/gcd_-_lgd_reference_model_working_group.ics