This is the consolidated view of findings. Click the Citation IDs or 'see details →' on any item for the full details for each finding.
A Risk team that builds its digital asset margin sufficiency controls using AI-generated methodology on this guidance faces a structural gap: every position in a digital asset accepted by multiple DCOs at divergent haircut rates will be assessed against the 20% floor rather than the highest applicable DCO rate, producing an understated margin requirement across the board. That error propagates directly into FCM counterparty exposure models, internal collateral sufficiency attestations, and any customer-facing margin disclosure framework the fund operates under.
Where the CFTC or a self-regulatory organisation examines the fund's margin calculation methodology — whether in an examination, a customer complaint, or an enforcement inquiry — a haircut schedule built on AI-derived floor-only logic does not survive scrutiny against the primary guidance, exposing both the fund and its FCM counterparties to liability for margin shortfalls the firm's own controls should have caught.