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Risk measurement of joint risk of portfolios: a liquidity shortfall aspect

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  • Shuo Gong
  • Yijun Hu
  • Linxiao Wei

Abstract

This paper presents a novel axiomatic framework of measuring the joint risk of a portfolio consisting of several financial positions. From the liquidity shortfall aspect, we construct a distortion-type risk measure to measure the joint risk of portfolios, which we referred to as multivariate distortion joint risk measure, representing the liquidity shortfall caused by the joint risk of portfolios. After its fundamental properties have been studied, we axiomatically characterize it by proposing a novel set of axioms. Furthermore, based on the representations for multivariate distortion joint risk measures, we also propose a new class of vector-valued multivariate distortion joint risk measures, as well as with sensible financial interpretation. Their fundamental properties are also investigated. It turns out that this new class is large enough, as it can not only induce new vector-valued multivariate risk measures, but also recover some popular vector-valued multivariate risk measures known in the literature with alternative financial interpretation. Examples are given to illustrate the proposed multivariate distortion joint risk measures. This paper mainly gives some theoretical results, helping one to have an insight look at the measurement of joint risk of portfolios.

Suggested Citation

  • Shuo Gong & Yijun Hu & Linxiao Wei, 2022. "Risk measurement of joint risk of portfolios: a liquidity shortfall aspect," Papers 2212.04848, arXiv.org, revised May 2024.
    • Handle: RePEc:arx:papers:2212.04848
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    References listed on IDEAS

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