We study a stochastic multiplicative process with reset events. It is shown
that the model develops a stationary power-law probability distribution fo
r the relevant variable, whose exponent depends on the model parameters. Tw
o qualitatively different regimes are observed, corresponding to intermitte
nt and regular behavior. In the boundary between them, the mean value of th
e relevant variable is time independent, and the exponent of the stationary
distribution equals -2. The addition of diffusion to the system modifies i
n a nontrivial way the profile of the stationary distribution. Numerical an
d analytical results are presented. [S1063-651X(99)05305-2].