1, Ito's Formula:
Let (Wt)t≥0, be a standard Brownian motion. Use Ito's Formula to write the following expressions in the form S(i)T = const + 0∫T.....dt + 0∫T.....dWt, i = 1, 2:
(a) S(0)T = (WT)2.
(b) S(1)T = (WT)3.
(c) S(2)T = WT+3/W2T+1.
For the following problems, use the following generalized version of Ito's Formula:
df(t,Wt) = ∂/∂tf(t,Wt))dt + ∂/∂Wtf(t,Wt)dWt +1/2.∂2/∂Wt2 f(t, Wt)dt,
so we have the first term on the right-hand side in addition to the remaining terms as in class.
2. Geometric Brownian motion:
Let (Wt)t ≥ 0 be a standard Brownian motion and σ, μ > 0. Show that
St = S0.exp{(μ -1/2σ2).t + σWt}
solves the stochastic differential equation
dSt = St.μdt + St.σdWt, S(0) = S0 > 0.
Under which condition is (St)t≥0 a martingale?
3. Ito's Formula 2:
The stochastic process (Rt)t≥0 is given by
Rt = R0e-t + 0.05(1-e-t) + 0.10∫1es-t√RsdWs
where (Wt)t≥0 is a standard Brownian motion.
Define Xt = R2t.
Find dXt,