  We present new exact expressions for a class of moments for the geometric
Brownian motion, in terms of determinants, obtained using a recurrence relation
and combinatorial arguments for the case of a Ito's Wiener process. We then
apply the obtained exact formulas to computing averages of the solution of the
logistic stochastic differential equation via a series expansion, and compare
the results to the solution obtained via Monte Carlo.
