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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GCD Model Tiering Survey Results Released

by | Jul 30, 2024 | 2024, News

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Model Tiering Survey

Model tiering refers to the classification of a model into a specific category of relevance for model risk management purpose.
For example, such categories can be labelled “high relevance”, “medium relevance”, “low relevance”.
This classification is intended to enable suitable risk-based governance of follow-up processes (e.g. monitoring, validation, reporting, etc.) according to the respective model relevance assessment.
Criteria such as model size (i.e. how much do the model results contribute to key figures of the bank) or the regulatory & legal requirements (i.e. degree to which the model contributes to fulfill those requirements) can be used for tiering.

Our survey provides a detailed overview of how 18 banks from 11 countries deal with Model Tiering topics. It covers the process, validation and model solutions for the risk management.

Results are available to participant banks only.

Please contact Denisa Wagner Muth for further information and to participate in Model Risk surveys.