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Expected Shortfall

Assuming sufficient differentiability properties, results of Tasche (2000) show that

$\displaystyle \frac{\partial \text{ES}_{\alpha}}{\partial u_i} (u_1,\ldots,u_n) = - \mathbf{E}[X_i \vert X \leq - \text{VaR}_{\alpha}(X)] .$ (22)

We refer to Tasche (2000) but also Lemma A.1 and A.2 in Appendix A for further information on the differentiation of ES. For $ \rho(u) =$   ES$ _{\alpha}(X(u))$, equation (21) can be written as
$\displaystyle \frac{\partial \text{ES}_{\alpha}'}{\partial u_i} (u_1,\ldots,u_{n-1})$ $\displaystyle =$ $\displaystyle - \mathbf{E}[X_i \vert X \leq -$   VaR$\displaystyle _{\alpha}(X)]$ (23)
    $\displaystyle + \frac{V_i}{V_n}\mathbf{E}[X_n \vert X \leq -$   VaR$\displaystyle _{\alpha}(X)] .$  

In fact, this simple expression of expectations is very suitable for numerical computations by Monte-Carlo methods.



2003-10-24 Approximity