Central Counterparties (CCPs) play a key role in financial markets as they reduce counterparty credit risk. Policymakers, CCPs and their members have recently focused on interconnectedness in central clearing to better understand and manage systemic risks that these institutions may pose.
Develop network maps of interconnections between CCPs through common membership based on publicly available datasets. These datasets can be augmented by confidential data, with data on other connections and by methods developed by FNA to estimate missing data and network structures.
The maps enable a global view of the financial system and provide a basis for work with individual CCPs and their members. Understanding interdependence in the network allows CCPs and their members to prepare for operational risks (e.g. from IT or cyber risk scenarios).