The Normal Distribution (and z-scores)
The Central Limit Theorem: Why the Bell Curve Is Everywhere
The Lognormal Distribution: Why Prices Aren't Normal
Skewness and Kurtosis: The Shape Beyond Mean and Variance
The Normal Distribution Assumption: Where the Bell Curve Breaks
Tail Risk and Black Swans: Counting the Days Models Say Can't Happen
The Student's t-Distribution: A Bell Curve That Admits Fat Tails
The Empirical Distribution and the Bootstrap: Let the Data Be the Model

← Maximum Drawdown: The Worst Peak-to-Trough Loss The Central Limit Theorem: Why the Bell Curve Is Everywhere →

// distributions·15 min

The Normal Distribution (and z-scores)

← Maximum Drawdown: The Worst Peak-to-Trough Loss The Central Limit Theorem: Why the Bell Curve Is Everywhere →