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Sensitivity-based Conditional Value at Risk (SCVaR): An efficient measurement of credit exposure for options

Ruoshi Shi, Yanlong Zhao, Ying Bao and Cheng Peng

The North American Journal of Economics and Finance, 2022, vol. 62, issue C

Abstract: Counterparty Credit Risk (CCR) has received extensive attention in the Over-The-Counter (OTC) derivative markets. This paper proposes a credit risk exposure measurement for European options: Sensitivity-based Conditional Value at Risk (SCVaR), which can cover the future credit risk by a stable sensitivity weight, and improve the accuracy of risk tracking in most cases. Compared with VaR and CVaR, SCVaR has superiority in extensibility, computational efficiency and stability. We further derive the tendency and upper bound of sensitivity weights, consequently obtaining a practical value of price weight for long-term stability. The simulation and empirical analysis in the Chinese options market also show good applicability of SCVaR. The risk exposures are efficiently covered during periods of fluctuation, which alleviates the procyclicality to some extent. These results provide a useful guidance for the development of financial risk management.

Keywords: Counterparty credit exposure; VaR; CVaR; Sensitivity; Greeks (search for similar items in EconPapers)
JEL-codes: C15 C32 C61 G01 G10 G17 G32 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecofin:v:62:y:2022:i:c:s106294082200122x

DOI: 10.1016/j.najef.2022.101781

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