Let X be an R-d-valued continuous semimartingale, T a fixed time horiz
on and Theta the space of all R-d-valued predictable X-integrable proc
esses such that the stochastic integral G(theta) = integral theta dX i
s a square-integrable semimartingale. A recent paper gives necessary a
nd sufficient conditions on X for G(T)(Theta) to be closed in L-2(P).
In this paper, we describe the structure of the L-2-projection mapping
an F-T-measurable random variable H is an element of L-2(P) on GT(The
ta) and provide the resulting integrand theta(H) is an element of Thet
a in feedback form. This is related to variance-optimal hedging strate
gies in financial mathematics and generalizes previous results imposin
g very restrictive assumptions on X. Our proofs use the variance-optim
al martingale measure (Pq) over tilde for X and weighted norm inequali
ties relating (P) over tilde to the original measure P.