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How to calculate $\frac{\partial\ \text{CVaR}_{\alpha}(\min(X,d))}{\partial d}$ and $\frac{\partial\ \text{VaR}_{\alpha}(\min(X,d))}{\partial d}$?

Here, $\text{CVaR}$ is short for Conditional Value-at-Risk and $\text{VaR}$ is short for Value-at-Risk. And $X$ is a random variable.

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  • $\begingroup$ What does $X$ stand for? For a loss (large X is bad) or for a return (negative X is bad)? What is the model for $X$? $\endgroup$ – Richard Aug 16 '18 at 12:15
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It really depends on the way you calculate your Var and CvaR. If your are able to get a closed form solutions for the derivative then you must use those, for faster results. Otherwise, you can use bump and reval. $$\frac{\partial V}{\partial d} = \frac{V(d+h) - V(d)}{h}$$

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