Risk management applications often require estimating the tail distribution of total default losses on a portfolio of credit-sensitive positions such as loans and corporate bonds. This paper develops, analyzes and tests an importance sampling estimator of large-loss probabilities. The estimator...

Stochastic point process models of event timing are common in many areas, including finance, insurance and reliability. Monte Carlo simula- tion is often used to perform computations for these models. The standard sampling algorithm, which is based on a time-change argument, is widely applicable...

This paper formulates and analyzes a discretization scheme for a jump-diffusion process with general state-dependent drift, volatility, jump intensity, and jump size. The jump times of the process are constructed as time-changed Poisson arrival times, and the Euler method is used to generate the...

We develop and analyze a class of unbiased Monte Carlo estimators for multivariate jump-diffusion processes with state-dependent drift, volatility, jump intensity and jump size. A change of measure argument is used to extend existing unbiased estimators for the inter-arrival diffusion to include...