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Coherent Risk Measures and Upper Previsions


  • Renato Pelessoni

    (University of Trieste)

  • Paolo Vicig

    (University of Trieste)


In this paper coherent risk measures and other currently used risk measures, notably Value-at-Risk (VaR), are studied from the perspective of the theory of coherent imprecise previsions. We introduce the notion of coherent risk measure defined on an arbitrary set of risks, showing that it can be considered a special case of coherent upper prevision. We also prove that our definition generalizes the notion of coherence for risk measures defined on a linear space of random numbers, given in literature. We also show that Value-at-Risk does not necessarily satisfy a weaker notion of coherence called ‘avoiding sure loss’ (ASL), and discuss both sufficient conditions for VaR to avoid sure loss and ways of modifying VaR into a coherent risk measure.

Suggested Citation

  • Renato Pelessoni & Paolo Vicig, 2002. "Coherent Risk Measures and Upper Previsions," Risk and Insurance 0201001, University Library of Munich, Germany.
  • Handle: RePEc:wpa:wuwpri:0201001
    Note: Type of Document - pdf; prepared on PC - TEX; pages: 9 ; figures: none. Presented at the 2nd International Symposium on Imprecise Probabilities and Their Applications, Ithaca, New York, 2001

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    Cited by:

    1. Frank Fabozzi & Radu Tunaru, 2006. "On risk management problems related to a coherence property," Quantitative Finance, Taylor & Francis Journals, vol. 6(1), pages 75-81.
    2. 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.
    3. Giannopoulos, Kostas & Tunaru, Radu, 2005. "Coherent risk measures under filtered historical simulation," Journal of Banking & Finance, Elsevier, vol. 29(4), pages 979-996, April.


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