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On the necessity of five risk measures

Author

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  • Dominique Guegan

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Wayne Tarrant

    (Wingate University - UBC - University of British Columbia [Canada])

Abstract

The banking systems that deal with risk management depend on underlying risk measures. Following the recommendation of the Basel II accord, most banks have developed internal models to determine their capital requirement. The Value at Risk measure plays an important role in computing this capital. In this paper we analyze in detail the errors produced by use of this measure. We then discuss other measures, pointing out their strengths and shortcomings. We give detailed examples, showing the need for five risk measures in order to compute a capital in relation to the risk to which the bank is exposed. In the end, we suggest using five different risk measures for computing capital requirements.

Suggested Citation

  • Dominique Guegan & Wayne Tarrant, 2010. "On the necessity of five risk measures," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00460901, HAL.
    • Handle: RePEc:hal:cesptp:halshs-00460901
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00460901v1
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    2. Matthieu Garcin & Dominique Guegan & Bertrand Hassani, 2018. "A novel multivariate risk measure: the Kendall VaR," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01467857, HAL.
    3. Matthieu Garcin & Dominique Guegan & Bertrand Hassani, 2018. "A novel multivariate risk measure: the Kendall VaR," Post-Print halshs-01467857, HAL.
    4. Charles Richard Barrett & Ioanna Kokores & Somnath Sen, 2016. "Monetary policy games, financial instability and incomplete information," Annals of Finance, Springer, vol. 12(2), pages 161-178, May.
    5. Marcelo Brutti Righi & Paulo Sergio Ceretta, 2015. "Shortfall Deviation Risk: An alternative to risk measurement," Papers 1501.02007, arXiv.org, revised May 2016.
    6. Massimiliano Amarante, 2016. "A representation of risk measures," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 39(1), pages 95-103, April.
    7. Maria Kasselaki & Athanasios Tagkalakis, 2014. "Financial soundness indicators and financial crisis episodes," Annals of Finance, Springer, vol. 10(4), pages 623-669, November.
    8. Arianna Agosto & Enrico Moretto, 2015. "Variance matters (in stochastic dividend discount models)," Annals of Finance, Springer, vol. 11(2), pages 283-295, May.
    9. Matthieu Garcin & Dominique Guegan & Bertrand Hassani, 2017. "A novel multivariate risk measure: the Kendall VaR," Documents de travail du Centre d'Economie de la Sorbonne 17008, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    10. Matthieu Garcin & Dominique Guegan & Bertrand Hassani, 2017. "A novel multivariate risk measure: the Kendall VaR," Documents de travail du Centre d'Economie de la Sorbonne 17008r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Apr 2018.

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    JEL classification:

    • C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Econometric and Statistical Methods; Specific Distributions
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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