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Partial Differential Equations - Modelling and ... - ResearchGate

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260 Y. Achdou<br />

European options are similar contracts, except that they can be exercised only<br />

at maturity t.<br />

Consider an American option with payoff P ◦ <strong>and</strong> maturity t. Under the assumptions<br />

that the market is complete <strong>and</strong> rules arbitrage out, Black–Scholes’<br />

theory predicts that the price of this option at time τ is<br />

( )<br />

P τ = sup E ∗ e −r(s−τ) P ◦ (S s ) ∣ F τ , (2)<br />

s∈T τ,t<br />

where T τ,t denotes the set of stopping times in [τ,t] (see [LL97] for the proof<br />

of this formula). It can also be proved, see, e.g., [BL84, JLL90] that P τ =<br />

P (τ,S τ ), where the two variables function P is found by solving a parabolic<br />

linear complementarity problem<br />

∂P<br />

∂τ + σ2 S 2 ∂ 2 P ∂P<br />

+ rS<br />

2 ∂S2 ∂S − rP ≤ 0, P(τ,S) ≥ P ◦(S), τ ∈ [0,t), S > 0,<br />

( ∂P<br />

∂τ + σ2 S 2 ∂ 2 )<br />

P ∂P<br />

+ rS<br />

2 ∂S2 ∂S − rP (P − P ◦ (S)) = 0, τ ∈ [0,t), S > 0,<br />

P (τ = t, S) =P ◦ (S).<br />

(3)<br />

The critical parameter in the Black–Scholes model is the volatility σ. Unfortunately,<br />

taking σ to be constant <strong>and</strong> using (2) or (3) often leads to poor<br />

predictions of the prices of the options which are available on the markets.<br />

One possible fix is to assume that the process driving S t is a more general<br />

Lévy process: Lévy processes are processes with stationary <strong>and</strong> independent<br />

increments which are continuous in probability, see, for example, the book by<br />

Cont <strong>and</strong> Tankov [CT04] <strong>and</strong> the references therein.<br />

For a Lévy process X τ on a filtered probability space with probability P ∗ ,<br />

the Lévy–Khintchine formula says that there exists a function χ : R → C such<br />

that<br />

E ∗ (e iuXτ )=e −τχ(u) , (4)<br />

χ(u) = σ2 u 2 ∫<br />

∫<br />

− iβu + (e iuz − 1 − iuz)ν(dz)+ (e iuz − 1)ν(dz),<br />

2<br />

|z|1<br />

(5)<br />

for σ ≥ 0, β ∈ R <strong>and</strong> a positive measure ν on R \{0} such that<br />

∫<br />

min(1,z 2 )ν(dz) < +∞.<br />

R<br />

The measure ν is called the Lévy measure of X.<br />

We assume that under P ∗ , the discounted price of the risky asset is a<br />

martingale, <strong>and</strong> that it is represented as the exponential of a Lévy process:<br />

e −rτ S τ = S 0 e Xτ .

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