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Vulnerability-CoVaR: investigating the crypto-market

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  • Martin Waltz
  • Abhay Kumar Singh
  • Ostap Okhrin

Abstract

This paper proposes an important extension to Conditional Value-at-Risk (CoVaR), the popular systemic risk measure, and investigates its properties on the cryptocurrency market. The proposed Vulnerability-CoVaR (VCoVaR) is defined as the Value-at-Risk (VaR) of a financial system or institution, given that at least one other institution is equal or below its VaR. The VCoVaR relaxes normality assumptions and is estimated via copula. While important theoretical findings of the measure are detailed, the empirical study analyses how different distressing events of the cryptocurrencies impact the risk level of each other. The results show that Litecoin displays the largest impact on Bitcoin and that each cryptocurrency is significantly affected if an event of joint distress among the remaining market participants occurs. The VCoVaR is shown to capture domino effects better than other CoVaR extensions.

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  • Martin Waltz & Abhay Kumar Singh & Ostap Okhrin, 2022. "Vulnerability-CoVaR: investigating the crypto-market," Quantitative Finance, Taylor & Francis Journals, vol. 22(9), pages 1731-1745, September.
    • Handle: RePEc:taf:quantf:v:22:y:2022:i:9:p:1731-1745
    DOI: 10.1080/14697688.2022.2063166
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    Cited by:

    1. Tong Pu & Yifei Zhang & Yiying Zhang, 2024. "On Joint Marginal Expected Shortfall and Associated Contribution Risk Measures," Papers 2405.07549, arXiv.org.
    2. Limin Wen & Junxue Li & Tong Pu & Yiying Zhang, 2024. "Comparisons of multivariate contribution measures of risk contagion and their applications in cryptocurrency market," Papers 2411.13384, arXiv.org.
    3. Tong Pu & Yunran Wei & Yiying Zhang, 2024. "On Vulnerability Conditional Risk Measures: Comparisons and Applications in Cryptocurrency Market," Papers 2411.09676, arXiv.org.

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