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Statistiques

Variance

Average squared deviation from the mean. Square root is standard deviation.

Variance is the average of the squared deviations of a series from its mean. It is the building block of standard deviation (its square root) and of more elaborate risk measures like covariance, correlation, and portfolio variance.

Variance is convenient for math (it adds across independent variables) but not for interpretation (it lives in squared-return units). For most trading reporting, standard deviation is reported instead because it shares units with the original returns.

Sample variance divides by N − 1 rather than N (Bessel's correction) to give an unbiased estimate. Most spreadsheet and statistical libraries default to the N − 1 version.

Formule

Var = Σ(x_i − x̄)^2 / (N − 1)

Exemple

Returns [0.01, -0.02, 0.00, 0.015, -0.005]. Mean = 0. Squared deviations sum to ≈0.000805. Variance = 0.000805 / 4 ≈ 0.000201.

Comment Noon Barbari utilise Variance

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