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Value at risk: Is a theoretically consistent axiomatic formulation possible?

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  • Joaquin, Domingo Castelo

Abstract

This note identifies three properties of a risk measure, the acceptance of all of which implies the acceptance of the VaR risk measure; and the rejection of any one of which implies the rejection of the VaR risk measure. First, a risk measure should reflect weak aversion to losses. Second, only sufficiently likely threats matter. Finally, the risk measurement should be unaffected by how promising the upside may look like. These properties, by themselves, constitute a consistent set of axioms that are necessary and sufficient for the acceptance of the VaR risk measure on a given probability space. The axiomatization highlights a peculiar characteristic of VaR: it ignores the upside, while at the same time neglecting the worse of the downside.

Suggested Citation

  • Joaquin, Domingo Castelo, 2009. "Value at risk: Is a theoretically consistent axiomatic formulation possible?," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(2), pages 725-729, May.
  • Handle: RePEc:eee:quaeco:v:49:y:2009:i:2:p:725-729
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    References listed on IDEAS

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    1. Casper G. de Vries & Gennady Samorodnitsky & Bjørn N. Jorgensen & Sarma Mandira & Jon Danielsson, 2005. "Subadditivity Re–Examined: the Case for Value-at-Risk," FMG Discussion Papers dp549, Financial Markets Group.
    2. Acerbi, Carlo & Tasche, Dirk, 2002. "On the coherence of expected shortfall," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1487-1503, July.
    3. Dirk Tasche, 2002. "Expected Shortfall and Beyond," Papers cond-mat/0203558, arXiv.org, revised Oct 2002.
    4. Tasche, Dirk, 2002. "Expected shortfall and beyond," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1519-1533, July.
    5. Kevin Dowd & David Blake, 2006. "After VaR: The Theory, Estimation, and Insurance Applications of Quantile‐Based Risk Measures," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 73(2), pages 193-229, June.
    6. Philippe Artzner & Freddy Delbaen & Jean‐Marc Eber & David Heath, 1999. "Coherent Measures of Risk," Mathematical Finance, Wiley Blackwell, vol. 9(3), pages 203-228, July.
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