Abstract
Motivated from the first passage model for default in credit risk, this paper extends the two-dimensional problem studied by Zhou (2001) to any finite dimension by means of Monte Carlo simulation. We derive a variational problem to characterize the importance sampling scheme for estimating joint default probabilities. The large deviation principle is applied to prove that the proposed importance sampling is asymptotic optimal.