# skfolio.measures.fourth_central_moment ### skfolio.measures.fourth_central_moment(returns, sample_weight=None) Compute the Fourth central moment. * **Parameters:** **returns** *ndarray of shape (n_observations,) or (n_observations, n_assets)* : Array of return values. **sample_weight** *ndarray of shape (n_observations,), optional* : Sample weights for each observation. If None, equal weights are assumed. * **Returns:** **value** *float or ndarray of shape (n_assets,)* : Fourth central moment. If `returns` is a 1D-array, the result is a float. If `returns` is a 2D-array, the result is a ndarray of shape (n_assets,). ### Notes NaN handling: - Unweighted: NaNs are ignored; all-NaN inputs yield NaN. - Weighted: NaNs propagate.