Before revision:  For several different modelswe show empirically that the estimator using this novel representation has no perceivable bias and variance smaller than a standard estimator used in practice .
After revision:  We derive an analytical form of the proposed representation of VaR contributions for various parametric models. Our numerical experiments show that the estimator using this novel representation has no perceivable bias and variance smaller than a standard estimator used in practice .