ECOLE POLYTECHNIQUE CENTRE DE MATHÉMATIQUES APPLIQUÉES UMR CNRS 7641 91128 PALAISEAU CEDEX (FRANCE). Tél: 01 69 33 41 50. Fax: 01 69 33 30 11 http://www.cmap.polytechnique.fr/ Model-free representation of pricing rules as conditional expectations R.I. 600 July 2006 Model-free representation of pricing rules as conditional expectations ∗ † ‡ Abstract We introduce a distinction between model-based and model-free arbitrage and formulate an operational denition for absence of model-free arbitrage in a nancial market, in terms of a set of minimal requirements for the pricing rule prevailing in the market. We show that any pricing rule verifying these properties can be represented as a conditional expectation operator with respect to a probability measure under which prices of traded assets follow martingales. Our result can be viewed as a model-free version of the fundamental theorem of asset pricing, which does not require any notion of reference" probability measure. ∗ † Università degli Studi di Perugia (Italy). Email: [email protected] Centre de Mathématiques Appliquées, Ecole Polytechnique (France). [email protected] Email: We acknowledge nancial support from the European Network on Advanced Mathematical Methods in Finance. ‡ Contents 1 Introduction 3 2 Denitions and notations 7 3 Pricing rules as conditional expectation operators 9 4 Discussion 12 1 Introduction (Ω, (Ft )t≥0 , P) P (St )t≥0 R (φt )t≥0 P φdS P admissible trading P strategies Z t t, P( φ dS ≥ −c) = 1 ∃c ∈ R φ 0 arbitrage opportunity Z P( φ T φ dS ≥ 0) = 1 and 0 Z P( T φ dS > 0) > 0, 0 P Q P Vt (H) H Vt (H) = E Q [H|Ft ] Q fn = fn → f ∗ P RT 0 φn dS fn− P(f ∗ =0) = 1 0 Q Vt (H) P H Vt (H) = E Q [H|Ft ] σ P model-based P P P P (Qθ , θ ∈ E) θ (Qθ , θ ∈ E) equivalent • • absence of model-free arbitrage P Q model-based L∞ (Ω, P) P pricing rule 2 Denitions and notations (Ω, (Ft )t∈[0,T ] ) F0 (Ft )t∈[0,T ] L0 FT L∞ R Y Y : Ω × [0, T ] → R ∪ {+∞, −∞} t Yt R ∪ {+∞, −∞} Ft Π : L0 → Y H ∈ L0 H ∈ L0 Πt (H) domain Dom(Π) Π Dom(Π) , {G ∈ L0 | Π(G) } Denition 1. A pricing rule is a mapping Π : L0 → Y H 7→ (Πt (H))t∈[0,T ] that satises the following properties: A1 If G, H ∈ Dom(Π), then K = max(G, H) ∈ Dom(Π). A2 Positivity. For any H ∈ L0 , if H ≥ 0, then Π(H) ≥ 0. A3 Ft -linearity on Dom(Π): For any H1 , H2 ∈ Dom(Π) and any bounded Ft measurable variable λ, λH1 + H2 ∈ Dom(Π) and Πt (λH1 + H2 ) = λΠt (H1 ) + Πt (H2 ) A4 Time consistency. ∀H ∈ L0 , Πs (Πt (H)) = Πs (H) 0 ≤ s ≤ t ≤ T A5 Normalization. Π(1) = 1. A6 Market consistency. If H is tradable at price (Vt )t∈[0,T ] in the market (whence in particular H = VT ), then H ∈ Dom(Π) and ∀t ∈ [0, T ], ∀ω ∈ Ω, Πt (H)(ω) = V (t, ω). A7 Continuity. If (Hn )n≥1 is an increasing sequence in L0 , uniformly bounded from below, with Hn ↑ H , then Π0 (Hn ) ↑ Π0 (H). Π(H) t t R∪{+∞, −∞} Πt (H) H Π(H) = −∞ H G max(H, G) S S Π Ft Dom(Π) t t Dom(Π) Ft 1 L∞ Π ⊂ Dom(Π) (Hn )n≥1 (Π0 (H −Hn ))n≥0 H Π0 (.) Remark 1 (Vector lattice property). Dom(Π) ∞ L 3 Pricing rules as conditional expectation operators Q Q Proposition 1. Let Q be a probability measure dened on (Ω, (Ft )t∈[0,T ] ) such that the prices Vt (H) of all traded assets are martingales with respect to Q. There exists a pricing rule Λ such that 1. Dom(Λ) is the vector space L1 (Q) of Q-integrable payos ; 2. For any H ∈ Dom(Λ), Λt (H) = E Q [H|Ft ] 1 One Q − a.s. could rewrite the whole formalism with the apparently (but not really) more general condition 0 < Π(1) ≤ 1. Proof. H Q Λ(H) Q H L0 Λ G EQ [ G | Ft ] H Ft {+∞} t ≤ T, k ∈ N R∪ (EQ [ |H| | Ft ])t (αt )t Ak,t = {k ≤ αt < k + 1} t Ak,t fk,t Λt (H) = fk,t EQ [HIAk,t | Ft ] Ak,t Ω − ∪k Ak,t , Λt (H) = +∞ Dom(Λ) = L1 (Q) Y Λ(H) Λt (H) Q Λ H E Q [H|Ft ] Λt (H) Vt (H) Q Theorem 1. Given a pricing rule Π, there exists a probability measure Q dened on (Ω, FT ) such that Π coincides with the conditional expectation with respect to Q. More precisely: 1. Dom(Π) is the vector space L1 (Q) of Q-integrable payos ; 2. For any H ∈ Dom(Π), Πt (H) = E Q [H|Ft ] Q − a.s. 3. Prices of traded assets are Q-martingales. Proof. FT Q ∀A ∈ FT , Q(A) = Π0 (1A ) Q Π Q Π Π0 Q ∞ H ∈L H= n X ci 1Ai , Ai ∈ FT , ci ∈ R. H Π0 (H) = E Q [H] i=1 Π H ∈ L0 , H ≥ 0 (Hn )n≥1 Hn ↑ H Q E Q [Hn ] = Π0 (Hn ) Π Π0 (H) = E Q [H] H L1 (Q) Q Π0 (H ) = E [H + ] + Q H ∈ L1 (Q) A ∈ Ft A ∈ Ft H +, H − Π Π0 (H) = E Q [H] H − Q − Π0 (H ) = E [H ] Dom(Π) ⊆ L1 (Q) Πt t>0 t ∈ [0, T ] Ft Π0 (1A H) Q Π0 (H) Π0 (1A Πt (H)) E Q [1A H] = E Q [1A Πt (H)] Πt (H) Ft Π Q H Q Dom(Π) V 1 L (Q) H V H Vt = Πt (H) = E Q [H | Ft ] Remark 2 (Continuity of Π). Π Q ψ : L∞ → R ψ(H) = Π0 (H) L∞ ⊆ Dom(Π) L∞ Q ψ (Ω, FT ) Q ψ 4 Discussion L0 Q Q P equivalent Q P Q P (Qθ , θ ∈ E) θ (Qθ , θ ∈ E) Qσ σ σ1 6= σ2 Qσ1 Qσ2 P L∞ (Ω, P P all L0 L∞ (P) Dom(Π) 1 L (Q) d σ− Π S1 , · · · , Sd underlyings S = (S 1 , · · · , S d ) Rd S P S Q S Denition 2. Given a pricing rule Π on the market, represented by a martingale measure Q and an Rd -valued Q-semimartingale S , a payo H ∈ L0 is said to be S -replicable if there exist a x ∈ R and a predictable process ( ) ϕ such that: 1. ϕ is S -integrable under Q. 2. Q( Πt (H) = x + Rt 0 ϕdS ) = 1. Remark 3. In the above denition and in what follows probabilistic notions are induced by the pricing rule through its representing Q. P S P σ σ σ φ ∈ L(S)(Q) Q φ S Proposition 2. [11, Proposition 2] Let S be a d-dimensional semimartingale on (Ω, F, (Ft )t∈[0,T ] , Q). The following assertions are equivalent: 1. there exist a d-dimensional Q- martingale N and a positive (scalar) process R ψ ∈ ∩1≤i≤d L(N i )(Q) such that S i = ψ dN i ; 2. there exists a countable predictable partition (Bn )n of Ω×R+ such that IBn dS i is a Q-martingale for every i, n; R 3. there exist (scalar) processes ηi with paths that Q − a.s. never touch zero, such R that η i ∈ L(S i )(Q) and η i dS i is a Q-local martingale. Denition 3. We say that S is a σ-martingale under Q if it satises any of the equivalent conditions of the above Proposition. Remark 4. Tn (Bn )n ]Tn , Tn+1 ] +∞ i Si not necessarily a martingale Si σ S the market spanned by S . H S Q S Proposition 3. Suppose that for all i there exists an S i -replicable derivative H i traded in the market with a strategy (ϕit )t∈[0,T ] that Q-a.s. never touches zero. Then S is a σ -martingale under Q. Proof. Hi R i i ϕ dS σ V i = Π(H i ) ϕi Q S Q Remark 5 (The 'No Free Lunch with Vanishing Risk' property). σ− S Q P∼Q Q Q ϕ Q S Z ∃c > 0, Q( ϕdS ≥ −c) = 1 S Q σ Q RT EQ [ 0 ϕdS] ≤ 0 References hitchhiker's guide Innite-dimensional analysis: a Journal of Computational Finance kets for Unbounded Processes Utility Maximization in Incomplete MarSémi- naire de probabilités XIII Proceedings of the Steklov Institute of mathematics Mathematical Finance Stochas- tics Stochastics Rep. Math. Ann. Math. Ann. Sém. Prob. XIV, Lecture Notes in Mathematics theory of continuous trading Martingales and stochastic integrals in the Option pricing, interest rates and risk management Risk Management and Analysis Journal of Business
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