Paper 1, Section II, 28K

Stochastic Financial Models | Part II, 2016

(a) What is a Brownian motion?

(b) State the Brownian reflection principle. State the Cameron-Martin theorem for Brownian motion with constant drift.

(c) Let (Wt)t0\left(W_{t}\right)_{t \geqslant 0} be a Brownian motion. Show that

P(max0st(Ws+as)b)=Φ(batt)e2abΦ(batt)\mathbb{P}\left(\max _{0 \leqslant s \leqslant t}\left(W_{s}+a s\right) \leqslant b\right)=\Phi\left(\frac{b-a t}{\sqrt{t}}\right)-e^{2 a b} \Phi\left(\frac{-b-a t}{\sqrt{t}}\right)

where Φ\Phi is the standard normal distribution function.

(d) Find

P(maxut(Wu+au)b)\mathbb{P}\left(\max _{u \geqslant t}\left(W_{u}+a u\right) \leqslant b\right)

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