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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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PD & Default Rate Report – North American Real Estate 2023

Posted
Updated
ByOlivier Plaetevoet

Description:

This Probability of Default (PD) report covers a reference data set of more than 70,000 obligors. The scope includes both the North American Construction industry and the Real Estate investment industry.

The default rate in 2022 presents an uptick for both the residential and the non-residential segments. When looking into more details, for construction the default rate rose to 3% in 2022, the highest for the last decade. For Real Estate Investments, the non-residential segment is more impacted in 2022 than the residential.

The insights gained from these high-level analyses confirm the benefits of detailed and granular collection of data – critical for banks using data-driven credit risk modelling to understand and quantify PD.

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