On May 12, 2021, ISDA responded to question four of a joint consultation paper by European Supervisory Authorities on taxonomy-related sustainability disclosures. ISDA recommends the inclusion of derivatives in the proposed key performance indicators (KPIs) for disclosing the extent to which investments are aligned with the taxonomy, but only where they are used to attain the environmental or social characteristics promoted by the financial product or the sustainable investment objective of the financial product. Additionally, ISDA suggests this approach should be applied consistently across all relevant calculation KPIs in respect of Non-Financial Reporting Directive entity reporting under article 8 of the Taxonomy Regulation, as differing interpretations could create investor confusion, result in fragmented outcomes and minimize the potential for evolution of risk management practices in the environmental, social and governance space going forward.
Documents (1) for ISDA Responds to ESAs on Taxonomy-related Sustainability Disclosures
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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...