Abstract: Pricing and hedging of higher order derivatives such as multidi-mensional (up to 100 underlying assets) European and first generation ex-otic options represent mathematically complex and computationally intensive problems. Grid computing promises to give the capability to handle such intense computations. With several Grid middleware solutions available for gridifying traditional applications, it is cumbersome to select an ideal can-didate, to develop financial applications, that can cope up with time critical computational demand for complex pricing requests. In this paper we present SuperQuant Financial Benchmark Suite to evaluate and quantify the overhead imposed by a Grid middleware on throughput of the system and turnaround t...
This paper aims to provide an overview and a comparison performance of parallel and distributed Berm...
This paper considers resource allocation algorithms for processing streams of events on computation...
This paper considers resource allocation algorithms for processing streams of events on computationa...
Pricing and hedging of higher order derivatives such as multidimensional (up to 100 underlying asset...
The paper investigates the potential advantages related to the adoption of grid computing technology...
International audienceThis paper introduces a Grid software architecture offering fault tolerance, d...
financial engineering benchmark for performance analysis of grid middlewares. [Technical Re
We investigate several ways to implement a financial algorithm on a Grid architecture. The chosen al...
Although grid technologies have been embraced by academia and industry as a viable solution to build...
The financial services industry today produces and consumes huge amounts of data and the processes i...
The focus of the option valuation application described in this paper is on complex derivatives like...
Abstract—Grid computing continues to hold promise for the high-availability of a wide range of compu...
International audienceAmong derivative financial contracts, the widely traded in the financial marke...
This paper is concerned with optimizing financial programs through the use of performance models to ...
The finance industry requires in-depth computational modelling of market conditions, pricing models,...
This paper aims to provide an overview and a comparison performance of parallel and distributed Berm...
This paper considers resource allocation algorithms for processing streams of events on computation...
This paper considers resource allocation algorithms for processing streams of events on computationa...
Pricing and hedging of higher order derivatives such as multidimensional (up to 100 underlying asset...
The paper investigates the potential advantages related to the adoption of grid computing technology...
International audienceThis paper introduces a Grid software architecture offering fault tolerance, d...
financial engineering benchmark for performance analysis of grid middlewares. [Technical Re
We investigate several ways to implement a financial algorithm on a Grid architecture. The chosen al...
Although grid technologies have been embraced by academia and industry as a viable solution to build...
The financial services industry today produces and consumes huge amounts of data and the processes i...
The focus of the option valuation application described in this paper is on complex derivatives like...
Abstract—Grid computing continues to hold promise for the high-availability of a wide range of compu...
International audienceAmong derivative financial contracts, the widely traded in the financial marke...
This paper is concerned with optimizing financial programs through the use of performance models to ...
The finance industry requires in-depth computational modelling of market conditions, pricing models,...
This paper aims to provide an overview and a comparison performance of parallel and distributed Berm...
This paper considers resource allocation algorithms for processing streams of events on computation...
This paper considers resource allocation algorithms for processing streams of events on computationa...