Theorem 4.4.4 — -monotone optimal fraction across regimes
DisprovedMDPFinance.ConsumptionInvestment.regime_monotone_fractioncomparative-staticsmathematical-financestochastic-orders
One stock, support of independent of , common admissible fractions ; (Eq. 4.21) with optimal . If then .
Formalization Note (moderation). The setting is the book's: power utility with (for the problem is a minimization), the common admissible set of fractions determined by the regime-independent support, and Assumption (FM) with non-redundancy in each regime, which makes the optimal solutions , unique (Remark 4.1.3); for an arbitrary set and possibly non-unique maximizers the inequality can fail for a bad selection.
Preamble
import Mathlib import Definitions.Def_MDPFinance_ConsumptionInvestment_StochasticOrders open MeasureTheory ProbabilityTheory
Formal statement
namespace MDPFinance.ConsumptionInvestment
/-- Theorem 4.4.4 (Bäuerle–Rieder, p. 104, PDF 118). One stock, power utility with `0 < γ < 1`,
regime return laws `Q_j`, `Q_k` satisfying Assumption (FM) (no arbitrage, finite mean) and
non-redundant (the return is not a.s. `0`, so that the maximizer of (4.21) is unique, Remark
4.1.3), with the support of `R(·)` independent of the regime, so that the admissible fractions
form a common set `Ã := {α | 1 + α R(j) ≥ 0 a.s.} = {α | 1 + α R(k) ≥ 0 a.s.}`;
`v(·) := sup_{α ∈ Ã} 𝔼[(1+αR(·))^γ]` (Eq. (4.21)) with optimal solutions `α^*(j)`, `α^*(k)`. If
`Q_j ≤_icv Q_k` then `α^*(j) ≤ α^*(k)`: the fraction invested in the stock is larger in the
environment state with the increasing-concave-larger return distribution. -/
theorem regime_monotone_fraction (γ : ℝ) (hγ0 : 0 < γ) (hγ1 : γ < 1)
(Qj Qk : Measure ℝ) [IsProbabilityMeasure Qj] [IsProbabilityMeasure Qk]
(hNAj : ¬ ∃ a : ℝ, (∀ᵐ y ∂Qj, 0 ≤ a * y) ∧ Qj {y | 0 < a * y} > 0)
(hNAk : ¬ ∃ a : ℝ, (∀ᵐ y ∂Qk, 0 ≤ a * y) ∧ Qk {y | 0 < a * y} > 0)
(hintj : Integrable id Qj) (hintk : Integrable id Qk)
(hnrj : Qj {y | y ≠ 0} ≠ 0) (hnrk : Qk {y | y ≠ 0} ≠ 0)
(Atilde : Set ℝ) (hAj : Atilde = {α | ∀ᵐ y ∂Qj, 0 ≤ 1 + α * y})
(hAk : Atilde = {α | ∀ᵐ y ∂Qk, 0 ≤ 1 + α * y})
(hicv : LEIncreasingConcaveOrder Qj Qk)
(αj αk : ℝ) (hαj_mem : αj ∈ Atilde)
(hαj_opt : ∀ α ∈ Atilde, ∫ y, (1 + α * y) ^ γ ∂Qj ≤ ∫ y, (1 + αj * y) ^ γ ∂Qj)
(hαk_mem : αk ∈ Atilde)
(hαk_opt : ∀ α ∈ Atilde, ∫ y, (1 + α * y) ^ γ ∂Qk ≤ ∫ y, (1 + αk * y) ^ γ ∂Qk) :
αj ≤ αk := by sorry
end MDPFinance.ConsumptionInvestment
Source
Bäuerle and Rieder, Markov Decision Processes with Applications to Finance, Universitext, Springer 2011, DOI 10.1007/978-3-642-18324-9, p. 104, PDF 118, Theorem 4.4.4
Human review
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.