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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Shipping Finance LGD Study 2017

by | May 5, 2017 | Newswire Page

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The shipping industry is the backbone of global trade. More than almost any other sector, it benefits from globalization and economic upturn. This also makes the industry vulnerable to economic downturns.

GCD loss data confirms this general observation. This report based on the shipping finance loss data gives insights regarding four major questions:

  • Does the data tell the story of why selling the ship is the option of last resort?
  • What is the impact of collaterization on LGD?
  • Can you link macroeconomic developments to the LGD curve over time?
  • Is specialised lending actually riskier than corporate finance?