Risk Measures on mathcal{P}(mathbb{R}) and Value At Risk with Probability/Loss function
classification
💱 q-fin.RM
math.PR
keywords
riskmeasuresprobabilityinvariantlambdalossmathbbmathcal
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We propose a generalization of the classical notion of the $V@R_{\lambda}$ that takes into account not only the probability of the losses, but the balance between such probability and the amount of the loss. This is obtained by defining a new class of law invariant risk measures based on an appropriate family of acceptance sets. The $V@R_{\lambda}$ and other known law invariant risk measures turn out to be special cases of our proposal. We further prove the dual representation of Risk Measures on $\mathcal{P}(% \mathbb{R}).$
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