Risk measures on \(\mathcal{P}(\mathbb R)\) and value at risk with probability/loss function (Q2875724)

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scientific article; zbMATH DE number 6328573
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Risk measures on \(\mathcal{P}(\mathbb R)\) and value at risk with probability/loss function
scientific article; zbMATH DE number 6328573

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    11 August 2014
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    value at risk
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    distribution functions
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    quantiles
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    law invariant risk measures
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    quasi-convex functions
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    dual representation
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    Risk measures on \(\mathcal{P}(\mathbb R)\) and value at risk with probability/loss function (English)
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    The authors define a new class of law invariant risk measures \(\Phi:\mathcal P(\mathbb R)\rightarrow \mathbb R\cup \{+\infty\}\) on the set \(\mathcal P(\mathbb R)\) of probability measures on \(\mathbb R\). These measures are based on an appropriate family of acceptance sets. They are monotone and quasi-convex. The proposition is a generalization of the classical notion of \(\mathrm{VaR}_\lambda\), that takes into account the balance between the probability and the amount of the loss. The dual representation of the risk measures on \(\mathcal P(\mathbb R)\) is also proven.
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