The paper investigates the potential advantages related to the adoption of grid computing technology in the financial sector. The increasing power of computational grids makes now possible to offer functionalities that were previously unimaginable. From derivative pricing, to risk management, from on-line trading to portfolio optimization, the possibility to manage huge amounts of data, solve models of seemingly limitless complexity and perform near real-time analysis may give the business a competitive edge. This contribution presents an important attempt to bring grid computing to the the financial sector. In particular, it presents a grid-based platform for portfolio optimization designed and implemented within the European funded BEinGRID project. A system demonstration from the end-user perspective together with architectural details on the grid platform are provided.
Grid computing for financial applications
Violi A.;
2009-01-01
Abstract
The paper investigates the potential advantages related to the adoption of grid computing technology in the financial sector. The increasing power of computational grids makes now possible to offer functionalities that were previously unimaginable. From derivative pricing, to risk management, from on-line trading to portfolio optimization, the possibility to manage huge amounts of data, solve models of seemingly limitless complexity and perform near real-time analysis may give the business a competitive edge. This contribution presents an important attempt to bring grid computing to the the financial sector. In particular, it presents a grid-based platform for portfolio optimization designed and implemented within the European funded BEinGRID project. A system demonstration from the end-user perspective together with architectural details on the grid platform are provided.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
