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Conditional risk and acceptability mappings as Banach-lattice valued mappings

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  • Kovacevic Raimund M.

Abstract

Conditional risk and acceptability mappings quantify the desirability of random variables (e.g. financial returns) by accounting for available information. In this paper the focus lies on acceptability mappings, concave translation-equivariant monotone mappings Lp(Ω,F,ℙ) → Lp´(Ω,F´,ℙ) with 1 ≤ p´ ≤ p ≤ ∞, where the σ-algebras F´ ⊂ F describe the available information. Based on the order completeness of Lp(Ω,F,ℙ)-spaces, we analyze superdifferentials and concave conjugates of conditional acceptability mappings. The related results are used to show properties of two important classes of multi-period valuation functionals: SEC-functionals and additive acceptability compositions. In particular, we derive a chain rule for superdifferentials and use it for characterizing the conjugates of additive acceptability compositions and SEC-functionals.

Suggested Citation

  • Kovacevic Raimund M., 2012. "Conditional risk and acceptability mappings as Banach-lattice valued mappings," Statistics & Risk Modeling, De Gruyter, vol. 29(1), pages 1-18, March.
  • Handle: RePEc:bpj:strimo:v:29:y:2012:i:1:p:1-18:n:1
    DOI: 10.1524/strm.2012.1041
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    Cited by:

    1. Raimund M. Kovacevic, 2019. "Valuation and pricing of electricity delivery contracts: the producer’s view," Annals of Operations Research, Springer, vol. 275(2), pages 421-460, April.
    2. Zachary Feinstein & Birgit Rudloff, 2013. "Time consistency of dynamic risk measures in markets with transaction costs," Quantitative Finance, Taylor & Francis Journals, vol. 13(9), pages 1473-1489, September.

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