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The University of Southampton
Centre for Risk Research

Star Financial Systems and Centre for Risk Research create state-of-the-art risk simulator

Published: 27 February 2015

Star Financial Systems Ltd (SF) recently collaborated with the Centre for Risk Research (CRR) on a Knowledge Transfer Partnership to develop an innovative risk analytics simulator. The system was designed from the ground-up to support the unique needs of companies that offer spread-bet/contract-for-difference (CFD) products to their clients.

 

Star Financial Systems Ltd (SF) are providers of the most technologically advanced trading and accounting systems to investment firms that provide retail online CFD, spread-trading and FX products. The newly developed simulator will present SF with intuitive, interactive real-time risk information, enabling risk-managers to rapidly identify those markets that hold significant profit opportunities as well as those that pose significant risk of loss and, therefore, require a hedged response. The simulator thus allows SF’s clients’ to optimise their risk management decisions.

 

At a recent project management committee meeting, the CRR’s project Associate, Dr. Peter Fraser Mackenzie, demonstrated the sophisticated client risk-trading simulator that had been developed on the project. Kevin Taylor, SF’s Chairman, said “SF’s core system’s key differentiator is its rapid bespoking and multi-lingual front-end, low latency/high frequency performance, scalability and real-time revenue accounting. We are delighted to be able to offer our customers the simulator developed on the project, as this will provide them with a clear edge, enabling them to make effective, timely and cost cutting hedging decisions.”

 

Ashley Abernathy, a senior developer at Star Financial also commented "We have again been impressed by CRR's in-depth knowledge of cognitively-intuitive visualization and effective human-machine workload division. The CRR has a strong capability for putting innovative ideas into concrete commercial valuable systems. We have found the multi-disciplinary skills offered by the CRR team invaluable in this project."

 

 

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