Global Credit Data

Last updated
AbbreviationGCD
Formation2004
Legal status Non-profit company
PurposeCross-border data-pooling to help measure credit risk.
Location
  • Netherlands
Membership
55 banks
Main organ
Board of Directors
Website Global Credit Data

Global Credit Data (GCD), formerly named the Pan-European Credit Data Consortium (PECDC), was formed in December 2004 as a credit data pooling initiative primarily designed to assist member banks' completion of Basel II preparations in their pursuit of Advanced Status for AIRB. [1] [2] [3] [4]

Contents

The role of Global Credit Data is to provide members with an additional credit data collection, analysis and research resource as well as to contribute to a better understanding of credit risk, as put forward in the Articles of Association. [5]

History

Initially it was formed as a loose affiliation of 13 original member banks. GCD now has the largest commercial loan loss and recovery dataset in existence. Membership has grown from the original base of 13 to a membership of 55 banks at September 2021 and the geographic coverage of the GCD databases, originally limited to Europe, have been extended to banks in Africa, Australia and North America. In December 2008 GCD was incorporated as a private not-for-profit legal association, domiciled in the Netherlands under Dutch law. [6]

Structure

Global Credit Data is governed by the Board, which comprises at least 7 members appointed by the General Meeting of members for two years. The board is governed by a chairperson and meets at least quarterly. There is also an Executive Director appointed by the board and the General Meeting. There is also a methodology committee charged with all methodological aspects, which is appointed by the board.

Board

Source: [7]

Senior personnel

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References

  1. Brumma, Nina; Winckle, Philip (2017). "GCD Shipping Finance LGD Study 2017". SSRN Electronic Journal. doi:10.2139/ssrn.2980741. ISSN   1556-5068. SSRN   2980741.
  2. Thackham, Mark; Ma, Jun (2018-10-26). "Exposure at Default Without Conversion Factors—Evidence from Global Credit Data for Large Corporate Revolving Facilities". Journal of the Royal Statistical Society Series A: Statistics in Society. 182 (4): 1267–1286. doi:10.1111/rssa.12418. ISSN   0964-1998.
  3. Malinen, Aki; Möll, Ricardo; Pelttari, Aleksi; Tran (Project Manager), Thong (June 7, 2021). "COVID-19 impact on credit loss modelling. Final Report" (PDF). Aalto University. ... Data in this project was obtained from several sources: SEB and Global Credit Data (GCD)1 rating migration data, free access economic data from Eurostat and the Wharton Business...
  4. Beerbaum, Dirk (2020). "Accounting Treatment of Credit Loss Allowances Amid COVID-19: Current Expected Credit Loss (CECL) Versus IFRS 9 Expected Credit Loss (ECL)". SSRN Electronic Journal. doi:10.2139/ssrn.3824287. ISSN   1556-5068. SSRN   3824287.
  5. "Articles of Association". 13 January 2020. Archived from the original on 2023-02-24. Retrieved 2023-02-24.
  6. GCD about us page Retrieved 2023-02-24
  7. GCD Board Members Archived 2023-02-24 at the Wayback Machine Retrieved 2023-08-01
  8. GCD about us page Retrieved 2023-02-24