Equivalent Nonlinear Complementarity Problem for Chance-constrained Games

We formulate a random bimatrix game, where the entries of the payoff matrix of each player jointly follow a multivariate elliptically symmetric distribution, as a chance-constrained game. We show that a Nash equilibrium of a chance-constrained game can be computed by solving an equivalent nonlinear complementarity problem.