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Distortion risk measure : ウィキペディア英語版
Distortion risk measure

In financial mathematics, a distortion risk measure is a type of risk measure which is related to the cumulative distribution function of the return of a financial portfolio.
== Mathematical definition ==
The function \rho_g: L^p \to \mathbb associated with the distortion function g: () \to () is a ''distortion risk measure'' if for any random variable of gains X \in L^p (where L^p is the Lp space) then
: \rho_g(X) = -\int_0^1 F_^(p) d\tilde(p) = \int_^0 \tilde(F_(x))dx - \int_0^ g(1 - F_(x)) dx
where F_ is the cumulative distribution function for -X and \tilde is the dual distortion function \tilde(u) = 1 - g(1-u).〔
If X \leq 0 almost surely then \rho_g is given by the Choquet integral, i.e. \rho_g(X) = -\int_0^ g(1 - F_(x)) dx. Equivalently, \rho_g(X) = \mathbb^ is the probability measure generated by g, i.e. for any A \in \mathcal the sigma-algebra then \mathbb(A) = g(\mathbb(A)).

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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