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Introduction to mathematical finance

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Introduction to mathematical finance

Sheet 11 HS 2014

Hand-in your solutions until 11.12.2014, in Martina Dal Borgo’s mailbox on K floor.

Let M be a continuous integrable adapted stochastic process on the filtered probability space (Ω, F , (F

t

)

t

, P ).

We say that M is a continuous-time martingale with respect to (F

t

) and to the measure P if E

P

[M

t

|F

s

] = M

s

, ∀ 0 ≤ s ≤ t.

Exercise 1

Let W be a real Brownian motion on a filtered probability space (Ω, F , (F

t

)

t∈[0,T]

, P ) and σ ∈ R . Prove that

i) W

t

, ii) W

t2

− t, ii) e

σWtσ

2 2 t

.

are continuous (F

t

)-martingale.

Exercise 2

We consider an arbitrage-free discrete binomial market (S, B) on the space (Ω, F , (F

t

)

t∈[0,T]

, P ) and a path-independent European-style derivative, that is the payoff is F

T

-measurable random variable Φ on (Ω, F , P ), which can be expressed as Φ = f (S

T

) for some function f . Therefore, as in Exercise 3 Sheet 5, the price process P

t

of the derivative can be expressed as

P

t

= p(t, S

t

),

where p : N × R

+

→ R

+

. Assume that f is a Lipschitz function with Lispchitz constant K :

|f (x) − f (y)| ≤ K |x − y|, x, y ∈ R .

Prove that the amount oh shares (α

t

)

t

of the risky asset the seller of the option has to hold in order to hedge the option satisfies

i) |α

t

| ≤ K, ∀ t,

ii) if f ↑, then α

t

≥, ∀ t, iii) if f ↓, then α

t

≤ 0, ∀ t.

Note that in case of

• a European Call K = 1 and f is increasing, therefore α

t

∈ [0, 1], ∀ t;

• a European Put K = 1 and f is decreasing, therefore α

t

∈ [−1, 0], ∀ t.

1

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Give a financial interpretation of the above comments.

Hint: Recall that a call option is equivalent to the promise of buying the stock for a strike price.

Exercise 3

Explain in why the 2nd fundamental theorem is in fact an equivalence between:

• Uniqueness of the risk neutral measure Q .

• The representation of Q -martingales as stochastic integrals. Formally, for every Q -martingale M = (M

s

)

1≤s≤T

, there exists a predictable process (η

s

)

1≤s≤T

such that:

M

t

= M

0

+

t

X

s=1

η

s

·

S ˜

s

− S ˜

s−1

2

Références

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