The gradient allocation principle based on the higher moment risk measure
Fabio Gómez,
Qihe Tang and
Zhiwei Tong
Journal of Banking & Finance, 2022, vol. 143, issue C
Abstract:
According to the gradient allocation principle based on a positively homogeneous and subadditive risk measure, the capital allocated to a sub-portfolio is the Gâteaux derivative, assuming it exists, of the underlying risk measure at the overall portfolio in the direction of the sub-portfolio. We consider the capital allocation problem based on the higher moment risk measure, which, as a generalization of expected shortfall, involves a risk aversion parameter and a confidence level and is consistent with the stochastic dominance of corresponding orders. As the main contribution, we prove that the higher moment risk measure is Gâteaux differentiable and derive an explicit expression for the Gâteaux derivative, which is then interpreted as the capital allocated to a corresponding sub-portfolio. We further establish the almost sure convergence and a central limit theorem for the empirical estimate of the capital allocation, and address the robustness issue of this empirical estimate by computing the influence function of the capital allocation. We also explore the interplay of the risk aversion and the confidence level in the context of capital allocation. In addition, we conduct intensive numerical studies to examine the obtained results and apply this research to a hypothetical portfolio of four stocks based on real data.
Keywords: Gradient allocation principle; Higher moment risk measure; Gâteaux derivative; Robustness; Stochastic dominance; Multivariate distributions (search for similar items in EconPapers)
JEL-codes: C02 C13 D81 G11 G22 G32 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jbfina:v:143:y:2022:i:c:s0378426622001388
DOI: 10.1016/j.jbankfin.2022.106544
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