
SciComp's Custom Fit Derivatives Pricing and Risk Models meet the needs of users looking for "off-the-shelf" derivative pricing and risk models as well as those seeking a customized model approach that captures particular instrument features and modeling needs.
With hundreds of derivative pricing models to select from we simply make any necessary alterations to customize the pricing and risk model to your specific modeling needs and requirements, an efficient and cost effective solution. Supports the modeling of any financial derivative that can be priced using a single or multi-dimensional partial differential equation (PDE) or Monte Carlo methodology.
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SciFinance® automates pricing and risk model development
SciPDE™ and SciMC™ are the core SciFinance modules
SciGPU™ achieves blazing fast performance with CUDA and OpenMP
SciCalibrator™ provides pricing model calibration
SciIntegrator™ eases integration
A resource site with examples, documentation and more...
Watch the SciFinance Parallel Computing movie:
Webinar: Automatic GPU computing for derivative pricing models
NEWS
Reval Speeds Up Pricing Complex Instruments in the Cloud with SciFinance
"We were looking for a cost-effective and easy-to-deploy solution to improve the pricing of complex derivative instruments using PDEs or Monte Carlo simulation in our SaaS product. We found it with SciFinance and GPU-enabled models, without having to become experts in parallel coding or CUDA."
"...the only thing you need to add to get GPGPU acceleration is literally 'CUDA'; it's a single keyword, not a fundamentally different way to formulate the math equations. This allows SciComp's customers to save even more time while also improving accuracy."
Beyond 3D