Performance optimization of financial option calculations


This paper is concerned with optimizing ®nancial programs through the use of performance models to promote the best use of available computational resources. The work necessarily focuses on run-time optimization, where a performance model of the program is combined with knowledge of run-time conditions (such as input data and system state) to produce information useful in the optimization process. Two speci®c techniques are presented: a method for dynamically selecting the best algorithm for pricing a particular ®nancial product based on run-time performance data (optimization at the single calculation level), and a method of using performance data with heuristic techniques for run-time scheduling of a large number of option-pricing calculations (both sequential and parallel) over the entire computer system. Demonstrations of these techniques for example calculations and resources typically used in ®nancial institutions are also described. Ó 2000 Elsevier Science B.V. All rights reserved.

DOI: 10.1016/S0167-8191(99)00123-4

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@article{Perry2000PerformanceOO, title={Performance optimization of financial option calculations}, author={S. C. Perry and R. H. Grimwood and Darren J. Kerbyson and Efstathios Papaefstathiou and Graham R. Nudd}, journal={Parallel Computing}, year={2000}, volume={26}, pages={623-639} }