Jamshidian, Farshid and Yu Zhu, "Scenario Simulation: Theory and methodology", Finance and Stochastics, Vol. 1, No. 1, (December 1996), pp. 43-67.
Abstract: This paper presents a new simulation methodology for quantitative risk analysis of large multi-currency portfolios. The model discretizes the multivariate distribution of market variables into a limited number of scenarios. This results in a high degree of computational efficiency when there are many sources of risk and numerical accuracy dictates a large Monte Carlo sample. Both market and credit risk are incorporated. The model has broad applications in financial risk management, including value at risk. Numerical examples are provided to illustrate some of its practical applications.
Keywords: Risk analysis, Monte Carlo studies, approximations to distributions.