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The proofs seem good to me. An alternative answer to the first question is, with $s<t$: \begin{align} E\left(B_tW_t|\mathscr{F}_s\right)&= E\left((B_t-B_s+B_s)(W_t-W_s+W_s)|\mathscr{F}_s\right) \\ &= E\left((B_t-B_s)(W_t-W_s)+(B_t-B_s)W_s+B_s(W_t-W_s)+B_sW_s|\mathscr{F}_s\right) \\ &= E((B_t-B_s)(W_t-W_s))+W_sE(B_t-B_s)+B_sE(W_t-W_s)+B_sW_s ... 3 To prove that Y(T)=0, you integrate the SDE :\int_{0}^{T}dY(t) = \int_{0}^{T}\nu dW(t) - \frac{\nu}{T} \int_{0}^{T}W(T) dtY(T)-Y(0)=\nu\left( W(T)-W(0)\right)- \frac{\nu}{T}W(T)\left(T-0\right)$$Therefore$$Y(T)=Y(0)$$You forgot to write the initial conditions but I guess Y(0)=0. EDIT : The dependency in \nu is irrelevant in pricing ... 2 Best visualised in 3D. 2D works for Riemann (when the integrator is x, as in dx) but for Riemann-Stieltjes (when the integrator is a function of x, e.g., \int{f(x)dg(x)}), visualisation in 3D is more revealing. You can also then interpret the 3D chart in terms of its projection in 2D. When the integrator is Brownian, as @ilovevolatility pointed out it, ... 4 Is f a deterministic and differentiable function function of time? If so, write$$ fdX = d(fX) - X (df/dt) dt  The integral of the first term on the right is just the terminal value, the second term looks like your graph but it will be jagged because $X$ has jagged paths.