Model Assumption Critiques

Model assumption critiques involve questioning the foundations upon which a financial model is built. Models like Black-Scholes rely on assumptions, such as normally distributed returns or constant volatility, which are often violated in the real world.

By critiquing these, professionals can understand where a model is likely to fail and what extra precautions need to be taken. In crypto, these critiques are vital because the assets are even further from the ideal conditions assumed by many traditional models.

Critiquing models is not about discarding them, but about using them with a necessary awareness of their limitations, which is the mark of a sophisticated user.

Model Validation Procedures
Valuation Model
Exchange Revenue Model
Parametric VAR
Pricing Assumptions
Model Variables