The ISDA Future of Derivatives Survey considers the issues facing the industry, in order to gauge how the derivatives market will develop and evolve. While the survey shows that participants are largely optimistic about the future of the derivatives market, several key challenges are likely to focus industry attention and resources, including ongoing regulatory compliance, the rollout of regulatory initial margin requirements, Brexit and benchmark reform.
The survey was conducted in February and March 2018, and attracted more than 900 responses in total. Approximately a third of the responses came from dealers, and 43% comprised buy-side firms (including bank end users, pension funds, energy companies, asset managers, insurance firms, non-financial corporates and governmental/supranational entities). The remainder of responses came from infrastructure providers, fintech companies and law firms.
Open the attached PDF to read the survey.
Documents (1) for ISDA Future of Derivatives Survey
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...