Model Misspecification Risk

Model misspecification risk arises when the mathematical model used to price or hedge a derivative does not accurately represent the real-world market dynamics. For instance, if a model assumes normal distribution of returns but the actual market exhibits fat tails or frequent black swan events, the hedge will be fundamentally flawed.

This risk is pervasive in cryptocurrency, where historical volatility patterns often break down due to protocol changes or regulatory shocks. When the model assumptions deviate from reality, the derivative strategy may fail catastrophically during periods of market stress.

Traders must stress-test models against historical and hypothetical scenarios to mitigate this danger.