We propose a model for conduct risk losses, in which conduct risk losses are characterized by having a small number of extremely large losses (perhaps only one) with more numerous smaller losses. It ...

This paper discusses a value-at-risk (VaR) time-scaling approach based on fitting a distribution function so as to apply a Monte Carlo simulation to determine long-term VaR. The paper uses composite ...