AT02 Prop. 3.1(iii)–(iv): , as used in the proof of PROPOSITION 1(iii)
ProvedMixFlex.RiskNeutral.expectedShortfall_affineexpected-shortfallp2o-batch-p200ap2o-gran-per-chapterp2o-plan-paperp2o-v1risk-measures
Let be an integrable random variable on a probability space, , and . Then the Acerbi–Tasche -expected shortfall satisfies
This combines positive homogeneity and translation invariance of expected shortfall (Acerbi and Tasche 2002, Proposition 3.1(iii) and (iv)); the proof of Proposition 1(iii) uses it to show that expected shortfall is additive on perfectly positively correlated demands.
Preamble
import Mathlib import Definitions.Def_MixFlex_RiskNeutral_Model
Formal statement
namespace MixFlex.RiskNeutral
open MeasureTheory ProbabilityTheory
/-- Positive homogeneity and translation invariance of expected shortfall (Acerbi–Tasche 2002,
Proposition 3.1(iii)–(iv)), as quoted in the proof of Proposition 1(iii), p. 52:
`ES_α(aZ + b) = a ES_α(Z) − b` for `a > 0`. -/
theorem expectedShortfall_affine {Ω : Type*} [MeasurableSpace Ω] (μ : Measure Ω)
[IsProbabilityMeasure μ] (Z : Ω → ℝ) (hmeas : Measurable Z) (hint : Integrable Z μ)
(a b : ℝ) (ha : 0 < a) (α : ℝ) (hα0 : 0 < α) (hα1 : α < 1) :
expectedShortfall μ (fun ω => a * Z ω + b) α = a * expectedShortfall μ Z α - b := by sorry
end MixFlex.RiskNeutral
Source
Acerbi and Tasche (2002), Proposition 3.1(iii)–(iv), as quoted in Tomlin and Wang, On the value of mix flexibility and dual sourcing in unreliable newsvendor networks, Manufacturing Service Oper. Management 7(1), 2005, p. 52, Appendix A, proof of PROPOSITION 1(iii)
Human review
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.