Loss-based risk measures

被引:31
|
作者
Cont, Rama [1 ]
Deguest, Romain [2 ]
He, Xue Dong [3 ]
机构
[1] Univ Paris 06, CNRS, Lab Probabilit & Modeles Aleatoires, 4 Pl Jussieu, F-75252 Paris, France
[2] EDHEC Business Sch, Nice, France
[3] Columbia Univ, IEOR Dept, New York, NY 10027 USA
关键词
Risk measure; coherent risk measure; actuarial premium principle; robustness; convex risk measure; risk management;
D O I
10.1524/strm.2013.1132
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Starting from the requirement that risk of financial portfolios should be measured in terms of their losses, not their gains, we define the notion of loss-based risk measure and study the properties of this class of risk measures. We characterize convex loss-based risk measures by a representation theorem and give examples of such risk measures. We then discuss the statistical robustness of the risk estimators associated with the family of loss-based risk measures: we provide a general criterion for the qualitative robustness of the risk estimators and compare this criterion with a sensitivity analysis of estimators based on influence functions. We find that the risk estimators associated with convex loss-based risk measures are not robust.
引用
收藏
页码:133 / 167
页数:35
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