Risk Management
At Cboe Clear Europe our core focus is risk management. Our advanced risk platform provides a safe, transparent and robust system to manage risk and volatility even in the most extreme circumstances.
The core margin model is based on a Filtered Historical Simulation (FHS), Expected Shortfall (ES) methodology. This model estimates potential loss based on historical price changes (returns). Margin is calculated using this model represent the potential expected loss for a given portfolio based on Cboe Clear Europe’s assumed lookback period, liquidation period, and confidence level.
Anti-Procyclicality Measures
Article 28 of the EMIR RTS sets out requirements for CCPs to limit procyclicality of margin requirements to the extent that the soundness and financial security of the CCP is not negatively affected. To comply with regulatory requirements, Cboe Clear Europe applies an anti-procyclicality (APC) measure in the form of a stressed historical simulation (StressHS) margin which aims at reducing the procyclicality of the stand-alone FHS IM (ie. by applying the option set out under Article 28(1)(b) of the EMIR RTS). An APC-compliant margin is then computed as a weighted sum of the FHS and the StressHS margins.
Reporting
Cboe Clear Europe's Risk Reporting provides a clear and transparent view of members collateral and margin requirements. For details of risk reporting please see the following documentation:
- Cboe Clear Europe Risk Report Specifications
- Cboe Clear Europe Margin Model Description Equities
- Cboe Clear Europe Margin Model Description Derivatives
Risk Governance
The Risk Committee is an EMIR-required advisory committee composed of three representatives from Clearing Participants, one representative from clients of Clearing Participants, and one independent member of the Supervisory Board, in compliance with EMIR requirements. The EMIR Risk Committee is chaired by Peter Bezemer, financial services consultant, former member of the Executive Committee of Euronext - Independent Member.