Distortion Risk Measures For Sums Of Dependent Losses

The authors discuss two distinct approaches, for distorting risk measures of sums of dependent random variables, which preserve the property of coherence. The first, based on distorted expectations, operates on the survival function of the sum. The second, simultaneously applies the distortion on the survival function of the sum and the dependence structure of risks, represented by copulas. The goal is to propose risk measures that take into account the fluctuations of losses and possible correlations between risk components.

Provided by: Cornell University Topic: Data Management Date Added: Jun 2011 Format: PDF

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