We consider the stochastic nonlinear complementarity
problem (SNCP). We first formulate the problem as a stochastic
mathematical program with equilibrium constraints and then, in
order to develop efficient algorithms, we give some reformulations
of the problem. Furthermore, based on the reformulations, we
propose a smoothed penalty method for solving SNCP. A rigorous
convergence analysis is also given.