What is a coherent risk measure, and why do we care? Can you give a simple example of a coherent risk measure as opposed to a non-coherent one, and the problems that a coherent measure addresses in portfolio choice?
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I'm just providing a global answer to the question, as I think it can be interesting for some beginners in quant finance. The properties given by TheBridge: Normalize $\rho (\emptyset)=0$ This means you have no risk in taking no position. Sub-addiitivity $\rho(A_1+A_2) \leq \rho(A_1)+\rho(A_2)$ Having a position in two different can only decrease the risk of the portfolio (diversification) Positive homogeneity $\rho(\lambda A) = \lambda \rho(A)$ Doubling a position in an asset A doubles your risk. And finally, Translation invariance $\rho(A + x) = \rho(A)-x$ That is, adding cash to a portfolio only diminishes the risk. So a risk-measure is said to be coherent if and only if it has all these properties. Note that this is just a convention, but it is motivated by the fact that all these properties are the ones an investor expects to hold for a risk measure. Finally, notice that neither VaR nor Var are coherent risk measures, wherease the Expected Shortfall is. |
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there are 4 defining properties of coherent risk measures you can find them here as well as examples for coherent and counterexamples of those kind of risk measures Regards |
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Coherent risk measures were created to address the problem that extant risk measures, like VaR, did not: namely that a risk measure should reward diversification. |
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I don't think that we should care if a risk measure is coherent. The reason that VaR is not coherent is because it need not be sub-additive. I'm willing to stand corrected, but I doubt that VaR is very far from sub-additive in practical situations. And I don't see a great deal of harm if it were. I have several problems with VaR but non-coherent is not among them. The homogeneity condition is wrong. I call this the Amaranth condition -- it turns out that being all of one side of a market is risky. |
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