Simple stochastic integral Let $(B_1,B_2)$ be a two-dimensional Brownian motion. Let
$$
X_t = \int\limits_0^t B_1(s)\mathrm \; dB_2(s).
$$
Is there a closed form for $X$ or the integral above is all one can get?
 A: In order to determine the law of $X_t$ it suffices to determine it for $t=1$ due to scaling property, $X_t \stackrel{d}{=} t X_1$.
Using the vector Ito process $V_t = (X_t, Y_t, Z_t)$ with
$$
   \mathbb{d} X_t = Y_t \mathrm{d} B^{(2)}_t \qquad \mathrm{d}Y_t = \mathrm{d} B^{(1)}_t \qquad
   \mathrm{d} Z_t =  \mathrm{d} B^{(2)}_t  \qquad V_0 = (0,0,0) 
$$
and noticing that $\mathcal{L}_0$ operator is nilpotent on polynomials in $X_t$, $Y_t$ and $Z_t$ allows to compute $\mathbb{E}(X_t^n)$ as
$$
   \mathbb{E}(X_t^n) = \frac{t^n}{n!} \mathcal{L}_0^{\circ n}(X_t^n) = \left(1/2\right)_n \cdot {}_1 F_1 \left(-n ; \frac{1}{2} - n; -\frac{1}{2}\right)
$$
where $\mathcal{L}_0 = \frac{1}{2} \left( Z_t \frac{\partial}{\partial X_t} + \frac{\partial}{\partial Y_t}+ \frac{\partial}{\partial Z_t} \right)$.
The (exponential) moment generating function corresponding to this sequence of moments is easy to find:
$$
   \mathcal{M}_{X_t}(u) = \sum_{n=0}^\infty \frac{u^n}{n!} \mathbb{E}(X_t^n) = \frac{\exp(-t u/2)}{\sqrt{1- t u}}
$$
which means that $X_t + \frac{t}{2}$ is equal in distribution to  $\Gamma(1/2,t)$ random variable, i.e. $X_t \stackrel{d}{=} \frac{t}{2}\left(Z^2-1\right)$ for a standard normal random variable $Z$. 
