Research and publications

A Moment Expansion of Downside Risk Measures

This paper introduces a decomposition of a sub-class of spectral risk measures in terms of L-moments accounting for geometric characteristics of the return distribution similar to the ones described by the ordinary moments. The decomposition completely characterises the spectral risk measures with square-integrable risk aversion functions and can be regarded as a link between higher-order moment risk and downside risk measures. Coherent approximations based on only a few L-moments can be successfully constructed for continuous risk aversion functions and can be applied to problems in portfolio theory to analyse the incremental impact of higher order moments on optimal allocations.

Author(s):

Stoyan V. Stoyanov

Summary:

This paper introduces a decomposition of a sub-class of spectral risk measures in terms of L-moments accounting for geometric characteristics of the return distribution similar to the ones described by the ordinary moments. The decomposition completely characterises the spectral risk measures with square-integrable risk aversion functions and can be regarded as a link between higher-order moment risk and downside risk measures. Coherent approximations based on only a few L-moments can be successfully constructed for continuous risk aversion functions and can be applied to problems in portfolio theory to analyse the incremental impact of higher order moments on optimal allocations.

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Type :	Working paper
Date :	12/06/2010
Keywords :	Risk Management

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