  A computational technique borrowed from the physical sciences is introduced
to obtain accurate closed-form approximations for the transition probability of
arbitrary diffusion processes. Within the path integral framework the same
technique allows one to obtain remarkably good approximations of the pricing
kernels of financial derivatives. Several examples are presented, and the
application of these results to increase the efficiency of numerical approaches
to derivative pricing is discussed.
