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GARP Benchmarking
Initiative (GBI)®

Addressing the need to conduct global systemic risk studies in a rapidly changing and interconnected marketplace.

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HYPOTHETICAL EXERCISES

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STRESS TESTING

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QUANTITATIVE IMPACT STUDIES

The Problem

The need for regular global financial risk studies presents material challenges. Cross-border issues, legal considerations, data gathering complexities and consistency and speed of analysis, among other things, all affect systemic risk studies. This is an especially difficult proposition if the implementation process has to be reinvented for each study.

Our GBITM online platform addresses these issues by providing an independent, non-partisan platform from which to conduct cross-border, regional or other studies in an efficient, secure and accurate way.

Highlights

  • Established in 2012
  • GBITM data processing meets NIST Cybersecurity Standards
  • Study participation from over 110 financial services firms, including
    • Over 70 banks (GSIBs and large, internationally active)
    • Over 35 asset management firms
    • Global participation 
  • Over 70 quantitative and qualitative studies completed, including
    • 8 Total Capital Impact (Basel III Revision) Studies
    • 13 FRTB Studies
    • 10 CVA Studies
    • 8 Counterparty Credit Risk Studies
    • 5 EBA Benchmark Portfolio Studies
    • Other study topics include liquidity risk, leverage ratio, Net Stable Funding Ratio, asset management issues, climate risk, third party risk management.

Our GBITM online platform and website hosts a range of cross-border, regional and national studies that are made available to participating firms. The GBITM online platform and website also provides other useful financial risk management-related analysis and information.

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Featured GBI™ Studies

  • Pillar 2 SREP Benchmarking Study
    • Study type: Regulatory
    • Participating Institutions: 10
    • Data Provided:
    • Study Objective:

      With the implementation of the new Basel 3 framework, there is likely to be a reduction in the use of internal models and heightened focus on Pillar 2 requirements to identify any double-counting or missing risk under Basel 3 across Pillar 1 and Pillar 2. To help firms to better understand how to position themselves in light of the changing regulatory environment, GBI is undertaking a data-driven benchmarking study to provide greater visibility of final Pillar 2 requirements, ECB SREP scores, and firms’ internal ICAAP assessments, including how this is allocated across a common, industry established, risk taxonomy. The study aims to help banks understand where there may be double-counting and/or missing risk across Pillar 1 and 2 resulting from the new Basel 3 framework.

  • Buy-Side Operational Error Benchmarking Study
    • Study type: Survey
    • Participating Institutions: 33
    • Data Provided:
    • Study Objective: This study is being run for the GARP Buy-Side Risk Managers Forum and will allow each member to benchmark itself against the peer group using an operational risk taxonomy focused on error identification, measurement, management, and remediation.
  • GSIB US NPR Impact Study
    • Study type: Regulatory
    • Participating Institutions: 8
    • Data Provided:
    • Study Objective: This study will provide the analytical basis for the industry response to the Notice of Proposed Rulemaking (NPR) for Basel IV implementation as it will impact the 8 U.S. G-SIBs.

Basel Pillar 3 Summary Charts

From several years of GBITM studies related to Basel Quantitative Impact Studies, GBITM has compiled a thorough repository of publicly-available Pillar 3 Disclosure data from banks all over the world. This data has been valuable for validation of study submissions and study results. With this data, GBITM has aggregated and summarized key features of regulatory capital measures for banks.

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Risk Snapshots

Risk Snapshots are data-driven insights on key topics and issues impacting risk managers globally. These insights are based on proprietary information gathered by GBITM.

 Featured

Assessing Today’s Outlook on Model Risk Management

Model risk management has come under increased pressure in recent years. The growing use and complexity of models have coincided with heightened regulatory demands related to FRTB, CECL/IFRS 9, and climate-related stress tests.

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