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A one-sided Vysochanskii-Petunin inequality with financial applications

Author

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  • Mathieu Mercadier

    (ESC Clermont-Ferrand - École Supérieure de Commerce (ESC) - Clermont-Ferrand)

  • Frank Strobel

    (University of Birmingham [Birmingham])

Abstract

We derive a one-sided Vysochanskii-Petunin inequality, providing probability bounds for random variables analogous to those given by Cantelli's inequality under the additional assumption of unimodality, potentially relevant for applied statistical practice across a wide range of disciplines. As a possible application of this inequality in a financial context, we examine refined bounds for the individual risk measure of Value-at-Risk, providing a potentially useful alternative benchmark with interesting regulatory implications for the Basel multiplier.

Suggested Citation

  • Mathieu Mercadier & Frank Strobel, 2021. "A one-sided Vysochanskii-Petunin inequality with financial applications," Post-Print hal-03241628, HAL.
    • Handle: RePEc:hal:journl:hal-03241628
    DOI: 10.1016/j.ejor.2021.02.041
    Note: View the original document on HAL open archive server: https://uca.hal.science/hal-03241628v1
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    References listed on IDEAS

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    1. Babat, Onur & Vera, Juan C. & Zuluaga, Luis F., 2018. "Computing near-optimal Value-at-Risk portfolios using integer programming techniques," European Journal of Operational Research, Elsevier, vol. 266(1), pages 304-315.
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    3. Mercadier, Mathieu & Lardy, Jean-Pierre, 2019. "Credit spread approximation and improvement using random forest regression," European Journal of Operational Research, Elsevier, vol. 277(1), pages 351-365.
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    Keywords

    risk analysis; risk management; finance; OR in banking;
    All these keywords.

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