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 North American Conference 2021

by | Nov 16, 2021 | 2021, Media, News, Newswire Page

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Key Takeaways

This year at Global Credit Data’s North American Conference GCD’s Members came together to discuss the pressing credit risk issues that banks are facing today.   Global Credit Data was proud to have hosted several important guest speakers this year featuring talks from the American Bankers Association (ABA), the International Institute of Finance (IIF), Accenture, and many more. 

Highlights

Member Testimonies

GCD Data in Action: Member roundtable on GCD data for modelling

Presented by Member Banks: M&T Bank and Equitable Bank

Benchmarking using GCD Data

Pandemic Recovery

Presented by GCD

Machine Learning

Model Risk Management: Model Validation, Machine Learning Governance

Presented by Natalia Bailey (IIF)

How the CRE market is monitored across the US

GCD Collateral’s Comparable Service

Presented by GCD

Climate Risk

Presented by the IIF and GCD

Resources

Day 1

Opening GCD Overview and Conference Program Slides
The state of commercial banking and projections in 2022 Slides
Model Risk Management: Model Validation, Machine Learning Governance Slides
Data Quality (DQ) as an Asset Slides
GCD Data in Action: Member roundtable on GCD data for modelling Slides
Regulatory Perspectives on Third-Party Data Slides
Comparing banks’ Stress Testing practices: GCD and CRISIL’s data-driven industry advisory study Slides
Pandemic Recovery Slides
GCD Academic Work & Modeling Recovery Rates of Small- and Medium-Sized Entities in the US
Slides

 

Day 2

Opening and welcome remarks Slides
CRE lending at the front lines: a perspective on the state of Commercial Real Estate Lending and the challenges ahead. Slides
GCD Collateral’s Comparable Service Slides
Climate Risk Contribution /GCD and Contributions to Climate Risk Data Sharing Slides
An Initial Look at Modeling Challenges during COVID-19 Slides
Collaboration with ADB and update on Trade Finance Slides