The IIGC and the industry’s commitments to global supervisors
ISDA and the industry have worked in close collaboration with global supervisors to achieve greater levels of counterparty credit risk management, regulatory transparency and operational efficiency. The ISDA Industry Governance Committee (IIGC) is comprised of major dealers and buy side institutions and serves as a forum for market participants to communicate with regulators and to further strengthen the OTC derivatives market infrastructure.
The following materials include information on the structure of the IIGC:
- Industry Governance Organizational Chart
- Industry Governance Committee Structure
- OTC Derivatives Industry Governance document
- ISDA Develops Three-Layered Governance Structure for Derivatives Industry Market Practice and Post-trade Activities (Press Release)
Below are recent industry letters (and supplements) to the global supervisory group, and explanatory press releases which serve as useful summaries.
Latest
Response to ESMA Guarantees
On April 30, ISDA responded to the European Securities and Markets Authority (ESMA) consultation paper on guarantees as central counterparty (CCP) collateral and certain aspects of CCP investment policy. ISDA broadly supports ESMA’s proposed draft regulatory technical standards (RTS) to...
ISDA AGM Studio: Jenny Cosco and Jason Granet
Jenny Cosco, global head of government relations and regulatory strategy at LSEG, and Jason Granet, chief investment officer at BNY, speak with Tara Kruse, ISDA’s global head of derivative products and infrastructure, about how firms can manage liquidity pressures during...
Updated OTC Derivatives Compliance Calendar
ISDA has updated its global calendar of compliance deadlines and regulatory dates for the over-the-counter (OTC) derivatives space.
Capital Models Benchmarking: A Framework for Counterparty Credit Risk Internal Models
When firms implement capital models in line with supervisory standards, a range of interpretative and implementation choices inevitably arise. These choices reflect differences in modeling approaches, data availability, system architecture and risk management practices, and can lead to variation in...