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

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  • Shi, Ruoshi
  • Zhao, Yanlong
  • Bao, Ying
  • Peng, Cheng

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.

Suggested Citation

  • Shi, Ruoshi & Zhao, Yanlong & Bao, Ying & Peng, Cheng, 2022. "Sensitivity-based Conditional Value at Risk (SCVaR): An efficient measurement of credit exposure for options," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    • Handle: RePEc:eee:ecofin:v:62:y:2022:i:c:s106294082200122x
    DOI: 10.1016/j.najef.2022.101781
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    References listed on IDEAS

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    More about this item

    Keywords

    Counterparty credit exposure; VaR; CVaR; Sensitivity; Greeks;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • G01 - Financial Economics - - General - - - Financial Crises
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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