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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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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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Unresolved Defaults LGD Study 2020

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Updated
ByMichael Dhaenens

Description:

This report describes the Global Credit Data (GCD) methodology for calculating loss given defaults (LGDs) for unresolved loans. The methodology benefits from GCD’s detailed and granular collection of post-default cash flow data and is based on extrapolations of historical recovery cash flows refined by the usage of risk drivers.

The methodology provides a straightforward, data-driven way of incorporating incomplete workout processes in the estimation of longrun average LGDs. Extensive validation both in- and out-of-sample has shown that the method works well in predicting LGDs for unresolved defaults.

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