Evaluating the benefits of service-oriented computing for risk/return management

Financial risk/return management requires high computational capabilities. It therefore seems to be a suitable application domain for service-oriented computing based on grid technologies. Due to on-demand access to a high amount of computational resources, calculations can be accelerated and resources can be used in a more flexible way than before. In this paper we describe the potential of service-oriented computing for risk/return management and propose a model to quantify the economic value of faster calculations.With our model it becomes possible to determine the computing capacity that should be allocated to corresponding services depending on current market parameters. We demonstrate this approach in a case study.