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Convex Imprecise Previsions for Risk Measurement

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Author Info
Renato Pelessoni (University of Trieste)
Paolo Vicig (University of Trieste)

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Abstract

In this paper we introduce convex imprecise previsions as a special class of imprecise previsions, showing that they retain or generalise most of the relevant properties of coherent imprecise previsions but are not necessarily positively homogeneous. The broader class of weakly convex imprecise previsions is also studied and its fundamental properties are demonstrated. The notions of weak convexity and convexity are then applied to risk measurement, leading to a more general definition of convex risk measure than the one already known in risk measurement literature.

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File URL: http://129.3.20.41/eps/ri/papers/0309/0309001.pdf
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Publisher Info
Paper provided by EconWPA in its series Risk and Insurance with number 0309001.

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Length: 23 pages
Date of creation: 30 Sep 2003
Date of revision:
Handle: RePEc:wpa:wuwpri:0309001

Note: Type of Document - Pdf; prepared on MikTeX; pages: 23. A more complete and updated version has been published in Reliable Computing, vol. 9, issue 6, December 2003
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Related research
Keywords: imprecise previsions risk measures weakly convex imprecise previsions convex imprecise previsions

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  1. Frittelli, Marco & Rosazza Gianin, Emanuela, 2002. "Putting order in risk measures," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1473-1486, July. [Downloadable!] (restricted)
  2. Hans Föllmer & Alexander Schied, 2002. "Convex measures of risk and trading constraints," Finance and Stochastics, Springer, vol. 6(4), pages 429-447. [Downloadable!] (restricted)
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This page was last updated on 2008-8-17.


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