This paper presents an overview of the efficient Monte Carlo counterparty credit risk (CCR) estimation framework recently developed by Ghamami and Zhang (2014). We focus on the estimation of credit value adjustment (CVA), one of the most widely used and regulatory-driven counterparty credit risk...

The normalized importance sampling estimator allows the target density f to be known only up to a multiplicative constant. We indicate how it can be derived by a delta method-based approximation of a Rao-Blackwellized acceptance rejection estimator. Using additional terms in the delta method...

The Asmussen-Kroese Monte Carlo estimators of P(S_n u) and P(S_N u) are known to work well in rare event settings, where S_N is the sum of independent, identically distributed heavy-tailed random variables X_1,...,X_N and N is a non-negative, integer-valued random variable independent of the...