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deviation risk measure : ウィキペディア英語版
deviation risk measure
In financial mathematics, a deviation risk measure is a function to quantify financial risk (and not necessarily downside risk) in a different method than a general risk measure. Deviation risk measures generalize the concept of standard deviation.
==Mathematical definition==
A function D: \mathcal^2 \to (), where \mathcal^2 is the L2 space of random portfolio returns, is a deviation risk measure if
# Shift-invariant: D(X + r) = D(X) for any r \in \mathbb
# Normalization: D(0) = 0
# Positively homogeneous: D(\lambda X) = \lambda D(X) for any X \in \mathcal^2 and \lambda > 0
# Sublinearity: D(X + Y) \leq D(X) + D(Y) for any X, Y \in \mathcal^2
# Positivity: D(X) > 0 for all nonconstant ''X'', and D(X) = 0 for any constant ''X''.

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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