
Statistical Measures of Returns with Mara Ellington & Dorian Hayes. In this bite-size Quant Methods episode, we turn raw return data into insight: Means that matter: arithmetic vs. geometric returns (μ, g). How variance, standard deviation & downside risk frame volatility (σ, σ2). Reading the shape: skewness, kurtosis & (non-)normality. Why cov(Ri, Rj) and ρ drive diversification. Perfect if you want CFA Level I stats to finally “click”.
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QUANT - Estimation and Inference

QUANT - Simulation Methods

QUANT - Portfolio Mathematics [2026]

QUANT - Probability Trees and Conditional Expectations [2026]
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