# Counterparty Risk Articoli collegati

Five Counterparty Risk Architectures: A Settlement-Layer Methodology for Classifying TradFi Models in Crypto Exchanges

**Summary:** This companion piece reframes the five TradFi-on-crypto exchange architectures, previously classified by "architectural fingerprint," through the lens of counterparty risk. The core question is: whose balance sheet bears the loss first in a stress scenario, and has it historically done so? Each of the five models corresponds to a distinct risk holder with its own documented failure modes. * **Model 1 (Stablecoin-Settled CEX Perpetuals):** Risk is held by the stablecoin issuer (e.g., reserve composition, bank connectivity) and the CEX's own book. History includes Tether's banking disconnections (2017) and reserve misrepresentations (CFTC 2021 Order). * **Model 2 (CFD Brokers):** Risk resides on the broker's balance sheet (B-book model). Regulatory differences (e.g., ESMA's mandatory negative balance protection vs. Mauritius FSC's lack thereof) define loss allocation rules, as seen in the 2015 SNB event (Alpari UK insolvency). * **Model 3 (Off-Chain Custody & Transfer Agent Chain):** Risk lies with the off-chain custodian/platform. User asset recovery depends on Terms of Use and corporate structure, exemplified by the Celsius bankruptcy ruling (2023) where Earn Account assets were deemed property of the estate. * **Model 4 (DEX Perpetual Protocols):** No single balance sheet bears risk. Loss absorption relies on a protocol's insurance fund and Auto-Deleveraging (ADL) mechanism, as demonstrated in the GMX V1 (2022) and dYdX v3 YFI (2023) incidents. * **Model 5 (Regulated CCP - DCM-DCO-FCM):** The most institutionalized model concentrates risk in the Central Counterparty (CCP). However, history shows CCPs can employ non-standard tools under extreme stress, such as mass trade cancellation (LME Nickel, 2022) or enabling negative price settlements (CME WTI, 2020). The report argues that regulatory choices and counterparty risk structures are co-extensive, not in an upstream-downstream relationship. It concludes with five separate observation checklists (not predictions) for monitoring the structural vulnerabilities of each risk model.

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