Momentum Clustered Volatility

Momentum clustered volatility, often referred to as volatility clustering, is the observation that high-volatility periods tend to follow high-volatility periods, and low-volatility periods follow low-volatility periods. In cryptocurrency, this is highly pronounced due to the feedback loops created by social media sentiment, liquidations, and rapid capital flows.

This clustering violates the assumption of independent and identically distributed returns, making traditional forecasting methods less effective. Quantitative models like GARCH are designed to account for this phenomenon by updating volatility estimates based on recent history.

Understanding this pattern is essential for option pricing and risk management, as it allows traders to anticipate regimes of instability. It is a fundamental feature of the crypto market's microstructure.