Notional amount outstanding is a widely used metric in the derivatives market, but it is more a measure of traded volume or transaction size and less a measure of risk. A recent research paper published by the US Commodity Futures Trading Commission (CFTC) highlights this point, and introduces an alternate metric for the interest rate derivatives market.
However, many derivatives regulations employ notional amount as a trigger or threshold to determine whether and how certain requirements will apply. This paper highlights a number of areas where derivatives rules are based on notional amount and similar measures. In so doing, the intention is to contribute to the important policy discussion about the merits of a risk-based regulatory framework.
Documents (1) for Uses of Notional Amount in Derivatives Regulation
Latest
Response to EC Consultation on Carbon Price
On June 10, ISDA responded to the European Commission’s (EC) consultation on the calculation of the carbon price paid in a third country under Article 9 of the Carbon Border Adjustment Mechanism (CBAM). ISDA supports the EC’s proposal that evidence...
Response to CFTC on Clearing Requirements
On June 11, ISDA responded to the US Commodity Futures Trading Commission’s notice of proposed rulemaking on the clearing requirement determination under Section 2(h) of the Commodity Exchange Act for interest rate swaps to account for Canadian dollar-denominated and Mexican...
Digital Assets and Derivatives: Where Next?
Digital assets are moving into a phase of institutional integration into derivatives markets. Trading venues, custodial infrastructures and tokenization platforms now exist across both traditional financial markets and public blockchain networks. While this diversity has accelerated innovation and liquidity formation,...
ISDA Publishes ISDA SIMM® Methodology, Version 2.8+2512
Following the 2026 primary calibration exercise, ISDA is pleased to publish SIMM® version 2.8+2512. This version of the ISDA SIMM has updates that are based on the full recalibration of the model using historical data up to 31 December 2025....
