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Processus de Lévy en Finance - Laboratoire de Probabilités et ...

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1.2. EXPONENTIAL LEVY MODELS 41<br />

(b) C n → C, where C ∗ = A ∗ + ∫ ∞<br />

−∞ h2 (x)ν ∗ (dx).<br />

(c) ∫ ∞<br />

−∞ f(x)ν n(dx) → ∫ ∞<br />

−∞<br />

f(x)ν(dx) for every continuous boun<strong>de</strong>d function f such that<br />

f(x) ≡ 0 on a neighborhood of zero, or, equival<strong>en</strong>tly, for every continuous boun<strong>de</strong>d<br />

function f satisfying f(x) = o(|x| 2 ) wh<strong>en</strong> x → 0.<br />

1.2 Expon<strong>en</strong>tial Lévy mo<strong>de</strong>ls: <strong>de</strong>finition and main properties<br />

Expon<strong>en</strong>tial Lévy mo<strong>de</strong>ls are obtained by replacing the Brownian motion with drift in the<br />

classical Black-Scholes-Samuelson mo<strong>de</strong>l of ass<strong>et</strong> price, by a Lévy process:<br />

S t = S 0 e rt+Xt , (1.10)<br />

where X is a Lévy process on (Ω, F, P ), and the interest rate term rt is introduced to simplify<br />

the notation below. Wh<strong>en</strong> P is the probability that <strong>de</strong>scribes the evolution of stock prices<br />

in the real world, also called the historical probability, the mo<strong>de</strong>l (1.10) is called a historical<br />

expon<strong>en</strong>tial Lévy mo<strong>de</strong>l.<br />

By the first fundam<strong>en</strong>tal theorem of ass<strong>et</strong> pricing (see [34]), a financial mark<strong>et</strong> does not<br />

allow for arbitrage opportunity (more precisely, satisfies the No Free Lunch with Vanishing Risk<br />

condition) if there exists a probability measure Q, equival<strong>en</strong>t to P , such that the discounted<br />

prices e −rt V t of all ass<strong>et</strong>s are Q-local martingales. Q is called a risk-neutral probability. The<br />

abs<strong>en</strong>ce of arbitrage in the mo<strong>de</strong>l (1.10) is therefore equival<strong>en</strong>t to the exist<strong>en</strong>ce of a probability<br />

Q ∼ P , such that e X is a Q-local martingale. The following result shows that if X is a Lévy<br />

process un<strong>de</strong>r P , one can almost always find a probability Q ∼ P , un<strong>de</strong>r which X is still a Lévy<br />

process and e X is a martingale.<br />

Proposition 1.8 (Abs<strong>en</strong>ce of arbitrage in exp-Lévy mo<strong>de</strong>ls). L<strong>et</strong> {X t } t≥0 be a Lévy<br />

process on (Ω, F, P ) with characteristic tripl<strong>et</strong> (A, ν, γ). If the trajectories of X are neither<br />

almost surely increasing nor almost surely <strong>de</strong>creasing, th<strong>en</strong> there exists a probability measure Q<br />

equival<strong>en</strong>t to P such that un<strong>de</strong>r Q, {X t } t≥0 is a Lévy process and {e Xt } t≥0 is a martingale.<br />

Q may be chos<strong>en</strong> in such way that (X, Q) will have the characteristic tripl<strong>et</strong> (A Q , ν Q , γ Q ),

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