Volatility & Risk Model
The Volatility & Risk Model focuses on identifying abnormal volatility and quantifying risk, ensuring robust strategy execution in high-volatility environments.
Key functionalities include:
Real-Time Risk Assessment: Utilizes historical volatility, spike detection, leverage concentration, and liquidation density to evaluate market risk conditions in real time.
Abnormal vs. Normal Volatility Detection: Distinguishes between regular fluctuations and abnormal spikes, and predicts potential price impact and systemic risk events.
Dynamic Risk Constraints: Integrates risk measurement tools such as VaR (Value-at-Risk) and CVaR (Conditional VaR) to provide the Execution Layer with dynamic risk control boundaries.
Application Example: in cases of high leverage concentration, the model can warn of potential liquidation cascades, triggering the Execution Layer to reduce positions or pause strategies to protect capital.
Last updated
