A new algorithm is presented that combines performance and variation objectives in a behavioural model for a given analogue circuit topology and process. The tradeoffs between per...
Sawal Ali, Reuben Wilcock, Peter R. Wilson, Andrew...
We investigate the use of Antithetic Variables, Control Variates and Importance Sampling to reduce the statistical errors of option sensitivities calculated with the Likelihood Ra...
Portfolio credit derivatives that depend on default correlation are increasingly widespread in the credit market. Valuing such products often entails Monte Carlo simulation. Howev...
In recent years the financial world has seen an increasing demand for faster risk simulations, driven by growth in client portfolios. Traditionally many financial models employ Mo...
Small-world networks have become an important model for understanding many complex phenomena in science and in sociological contexts. One tool for exploring the critical and phase...