Week 6
We covered most of these sections. I didn’t prove the Itô formula.
Examples (7.3)
We looked the examples of the OU process and geometric Brownian Motion.
Notes: Stochastic intergrals and SDEs
Exercises
- 7.1
- 7.3
- 7.5
- 7.6
- 7.7
-
Let
\(X_t = e^{-\gamma t}W_{\frac{\sigma^2}{2\gamma}(e^{2\gamma t}-1)},\)
where $W_t$ is a Wiener process.
Deduce that it satisfies the Ornstein–Uhlenbeck SDE
\(dX_t = -\gamma X_t\,dt + \sigma\, dW_t.\)
- Define a stochastic integral using Riemann sums with partition $P={0=t_0<t_1<\dots<t_n=t}$ and evaluation point
\(t_* = \lambda t_{j+1} + (1-\lambda)t_j,\qquad \lambda\in[0,1].\)
Using this definition, derive the formula for
\(\int_0^t W_s\, dW_s.\)
- Consider the Gaussian process \(Q = \int_0^te^{-\gamma(t-s)}dW_s\)
which appeared in the solution of the OU process.
Derive its covariance function.