Distribution Fat Tails

Distribution fat tails refer to a probability distribution that exhibits a higher frequency of extreme outliers than a normal distribution. In financial markets, particularly crypto, returns often show fat tails, meaning that large price swings occur more frequently than statistical models like the bell curve predict.

This characteristic is a major source of error in traditional risk models, as it underestimates the probability of catastrophic events. Recognizing fat tails is essential for accurate risk quantification, as it forces models to account for the reality of sudden, massive market shifts.

It is the mathematical recognition that the market is not a predictable, balanced environment, but one prone to extreme, non-linear behavior. Understanding this distribution is key to building models that do not break during volatility spikes.