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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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Today

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

European Conference Vienna March 2019

Global Credit Data's European Conference 2019 was hosted by Raiffeisenbank International. The two day conference had been a mix of plenary presentations and breakout sessions: Member banks have presented different approaches on how to deal with the challenges credit risk modelling is currently facing when it comes to modelling LGD, EaD and PD for various purposes within a bank. Participants had also the chance to see Analytics presentations on the GCD data and engage in our "Peer Discussion sessions". Click here for further impressions.  The detailed agenda and the presentations can be found at the bottom of this page (also downloadable in just one zip-file --> click on last link).          Contact person:Daniela Thakkar Location:Raiffeisen Bank International Aganda:https://www.globalcreditdata.org/wp-content/uploads/2019/03/agenda_gcd_conference_2019_vienna_20190321.pdf

LGD Subcommittee Meeting #2/2019

Agenda will be available in advance April 30th 2019 Time: 15:00-16:00 CET (Amsterdam Time) -------------------------------------------------------------------------------- The meeting will take place using the Zoom application (replacement of our former Webex tool). Join Zoom Meeting https://globalcreditdata.zoom.us/j/182101216 One tap mobile +16699006833,,182101216# US (San Jose) +19294362866,,182101216# US (New York) Dial by your location         +1 669 900 6833 US (San Jose)         +1 929 436 2866 US (New York) Meeting ID: 182 101 216 Find your local number: https://zoom.us/u/abL3Yawkl ----------------------------------------------------------------------------------------- LGD Subcommittee Meeting #2/2019 Contact person:Erik Rustenburg Location:https://globalcreditdata.zoom.us/j/182101216

PD Subcommittee #2/2019

Regular PD Subcommittee meeting - see agenda (incl. login details) attached Location:Zoom call Aganda:https://www.globalcreditdata.org/wp-content/uploads/2019/04/agenda_pd_subcommittee_may_09th_2019.pdf

Canadian Forum Toronto May 2019

Venue: Scotiabank Centre, 40 King Street W, 2nd Floor, Toronto, ON Agenda is available here.  Global Credit Data's Canadian Forum will be hosted by Scotiabank in downtown Toronto.  In this 1-day event, there will be presentations on different approaches on how to deal with the challenges credit risk modelling is currently facing when it comes to modelling LGD, EaD and PD for various purposes within a bank. Participants will also have the chance to see presentations on the GCD data and engage in our round table discussion sessions.  Few highlighted topics that will be part of the event:  Risk data Modelling  IFRS9 Benchmarking Round table discussions Bank presentations on how they use GCD data This event is for members only as well as based on invitations sent out to dedicated specialists from the industry. Please contact us for any inquiries. Registration process:  Employees working for a GCD member bank:  Please login to our member website and click here to register. If you do not have an account yet, please create an account first.  Non-members:  Please register here. GCD will come back to you with a confirmation of your attendance.  Contact person:Hale Tatar Location:Toronto

PD Subcommittee #3/2019

Review of submission process Location:Zoom call Aganda:https://www.globalcreditdata.org/wp-content/uploads/2019/05/agenda_pd_subcommittee_may_09th_2019_0.pdf

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

General Meeting of Members June 2019

The Board of Global Credit Data hereby gives notice to its members of a General Meeting to be held on 27 June 2019 at 1400 Central European Time. The meeting is to be held electronically, as allowed under Article 32a of the Articles of Association. The business to be discussed at the meeting shall include: 1.            Approval of minutes of the General Meeting held in June 2018 2.            Review of the Annual Report of Activities 3.            Approval of the 2018 Financial Statements 4.            Release of Directors from liability 5.            Annual Appointment of Auditors for 2019 6.            Approval of 2020 budget including contracts therein 7.            Amendments Articles of Association 8.            Possible amendments to Data Pool Regulations 9.            Publications of GCD material 10.          Election of Board Members Delegates of members wishing to put forward further items for discussion at this meeting are requested to contact the Executive Director (richard.crecel@globalcreditdata.org) as soon as possible.  As per Rules of Associations, the quorum in order to pass resolutions is at least 50% of members attending or voting at the meeting ; with a >50% majority of votes in favour of the resolution.  Members not wishing or able to attend are requested to register their vote […]

Webinar: Learn to sample GCD data for quality and representativeness

Beginning of the year, GCD released its second authoritative report on loss given default (LGD) for large corporate borrowers with a turnover above €50m. According to the data, banks recover, on average, 76% of debts owed by large corporate borrowers after default. This is significantly higher than the 55% recovery rate implemented by the Basel Committee on Banking Supervision for corporate exposure under the foundation IRB approach. The findings are based on a reference data set comprising 10,737 defaulted borrowers and 18,465 facilities, from 58 lenders worldwide. The fact that the findings are in line with the previous report in 2018 confirms the stability and consistency of GCD's data sets and the reliability of the long-term estimates. GCD supports its member banks with protocols, toolings and detailed validation rules, to use the data as efficient as possible. We invite all (new) data users to join our next webinar on July 9th 2019 at 2pm CEST / 8am EST / 10pm AEDT detailing How to create a reference data set with GCD data, How to best address the aspect of representativity and data quality How to make use of the existing SAS tooling and validation rule table   Login details:  Meeting URL:  https://globalcreditdata.zoom.us/j/703040050 Join by Phone:  NL +31 (0) 20 […]

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 […]

South African Forum Johannesburg July 2019

Venue: Think Precinct, 1 Merchant Place, Cnr Fredman Drive & Rivonia Road, Sandton 2196 Global Credit Data's South African Forum was hosted by First Rand / RMB in Johannesburg.  In this 1-day event, members, academics and GCD excecutives presented on different approaches on how to deal with the challenges credit risk modelling is currently facing when it comes to modelling LGD, EaD and PD for various purposes within a bank.  Few highlighted topics that will be part of the event:  LGD modelling for Real Estate Specialized Lending and Slotting Approach IFRS9 Benchmarking Round table discussions on how banks use GCD data   This event is for members only as well as based on invitations sent out to dedicated specialists from the industry. Please contact us for any inquiries.   Please find here the final agenda.      Contact person:Daniela Thakkar Location:Johannesburg