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MHA-1292 GEMS audit exercise.

Source: Single Electronic Data Interchange Area (SEDIA)

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The Global Emerging Markets (GEMs) risk database consortium, originally established as a joint effort by the European Investment Bank (EIB) and the International Finance Corporation (IFC), is a comprehensive database of credit risk information relating to emerging market operations of currently 11 participating institutions. Other members of the GEMs consortium are the European Bank for Reconstruc

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Participants

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closed

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Description

Description

The Global Emerging Markets (GEMs) risk database consortium, originally established as a joint effort by the European Investment Bank (EIB) and the International Finance Corporation (IFC), is a comprehensive database of credit risk information relating to emerging market operations of currently 11 participating institutions. Other members of the GEMs consortium are the European Bank for Reconstruction and Development (EBRD), African Development Bank (AfDB), Inter-American Development Bank (IADB), Asian Development Bank (ADB), Dutch development bank (FMO), Black Sea Trade and Development Bank (BSTDB), Overseas Private Investment Corporation (OPIC), Islamic Development Bank (IsDB), and Agence Française de Développement (AFD). The primary purpose of the database is to provide pooled data on credit default rates from the projects funded by the participating organisations and recovery rates from defaulted projects. Currently the GEMs risk database has over 7 000 counterparts, approximately 1 500 default events and almost 1 500 resolved contracts.The members of the participating institutions of the GEMs consortium meet twice a year in order to discuss potential improvements on a wide range of topics.The Global Emerging Market Credit Data (GEMs) consortium was validated in its methodology and data quality at the beginning of 2009, when the institutions contributing with data were EIB and IFC only.A second independent validation of the consortium operations was held in 2013 focusing on suggestions, changes and the advice on definitions and their application.Today, the Gems consortium seeks external validation both in data quality and methodology, as well as regarding the calibration exercise.

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Source reliability

High

Data quality score

100%

Source

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URL

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