Empirical Distribution

The empirical distribution is the probability distribution derived directly from observed data points rather than from a theoretical model like the normal distribution. In crypto finance, where historical data often exhibits "fat tails" and skewness that standard models fail to capture, the empirical distribution provides a more accurate representation of actual market behavior.

By using the data as it is, rather than forcing it into a mathematical shape, analysts can better assess the likelihood of extreme events. This is essential for accurate risk management, especially when dealing with crypto assets that are prone to sudden, large price swings.

The empirical distribution is a fundamental tool for data-driven decision-making, grounding models in the reality of observed market outcomes.