On s-additive robust representation of convex risk measures for unbounded financial positions in the presence of uncertainty about the market model



Moreover, due to statement .2 and Greco’s representation theorem again, there exists some m N such that
Eq[X+ - (X- n)] - Eq[(X + m) - (X- n)], ρ(X+ - (X- n)) - ρ((X+ m) - (X- n)) ε

We may conclude by

-EQ[X] - ρ(X) < -EQ[(X+ m) - (X- n)] - ρ((X+ m) - (X- n))+εsup (-EQ[Y] - ρ(Y)) +ε

and then sup (-EQ [X] - ρ(X)) = sup (-EQ [X] - ρ(X)). The rest of statement .3 follows easily from statements
XX                   XXb

.1, .2.

proof of .4:

By assumption ρ : X R, X sup (-Ep[X] - αρ(P)), is a well defined convex risk measure w.r.t. π with ρ ρ
PM

and ρ(X) = ρ(X) for bounded X X. In particular β-1(R) β-1(R), which implies that every Λ β-1 (R) is
representable by a probability content due to the assumptions on β
ρ. Therefore the statements .1, .2 are also valid
for ρ, following the same line of reasoning used in the proof of them. Then firstly, fixing ε > 0, we may find for
X
X an integer n N with

ρ(X) - ρ(X+ - (X- n)), ρ(X) - ρ(X+ - (X- n)) <4 .

Furthermore there is some m N such that

ρ((X+ m) - (X- n)) - ρ(X+ - (X- n)), ρ((X+ m) - (X- n)) - ρ(X+ - (X- n)) ε .

Thus 5(X) - ρ(X) < ε, and hence ∕5(X) = ρ(X), which completes the proof.                                 H

In order to apply Lemma 6.5 we are now interested in conditions on ρ that ensure that linear forms from the
domain of β
ρ are representable by probability contents. We shall succeed in providing a full characterization.

Proposition 6.6 Let X be a Stonean vector lattice. Then every linear form from βρ-1 (R) is representable by a
probability content if and only if
lim ρ(-λ(X - n)+) = ρ(0) for every λ > 0 and nonnegative X X.
n→∞

Proof:

For the if part let Λ βρ-1 (R). Then by assumption and Lemma 6.2 the sequence Λ((X - n)+) n converges to 0
for nonnegative X
X. Hence, due to Greco’s representation theorem (cf. [14], Theorem 2.10 with Remark 2.3)
Λ is representable by a probability content.

Conversely, let every linear form from the domain of βρ be representable by a probability content, and let λ > 0 as
well as X
X be nonnegative. In view of Lemma 6.1 there is some c* ]-ρ(0), [ with ρ(Y) = sup   (-Λ(Y)-

Λ{βρ c}

βρ(Λ)) for any Y X with -λX Y 0. In particular

ρ(-λ(X - n) + ) - ρ(0)sup   (Λ(λ(X - n) + )) for every n.

Λ{βρc*}

18



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