This is documentation for a C++ implementation of the simulated maximum likelihood (SML) estimation method, where the SML algorithm is applied to the stochastic volatility (SV) model. The algorithm and code can easily be adapted to a richer class of SV models, as well as to more general dynamic...

Purpose – It is the purpose of this article to improve existing methods for risk management, in particular stress testing, for derivative portfolios. The method is explained and compared with other methods, using hypothetical portfolios. Design/methodology/approach – Closed form option...