Pricing Commodity Derivatives

SciComp offers two solutions for pricing commodity derivatives, SciFinance® and Custom Fit Pricing Models.

SciFinance

SciFinance is an automated coding technology for rapidly developing derivatives pricing and risk models. Simply select from one of hundreds of model specifications and modify as appropriate to capture the unique features of the commodity derivative or to implement a preferred pricing approach. Commodity derivative pricing model specifications are comprised of arbitrary partial differential equations (PDEs) or stochastic differential equations (SDEs), numerical algorithms, keywords, and may include the calling of external functions. SciFinance does the rest by automating the programming task via the SciPDE and SciMC modules to produce fully documented C/C++/CUDA pricing model source code or Excel spreadsheets and add-ins.

Custom Fit Pricing Models

SciComp Custom Fit Pricing Models meet the needs of users looking for a customized commodity derivatives pricing model that has been tailored to their particular modeling needs and requirements. Custom Fit Pricing Models are state-of-the-art commodity derivative pricing and risk models comparable to those found on the desks of traders and risk managers within Tier-1 financial organizations. Like SciFinance, Custom Fit Pricing Models support the modeling of any commodity derivative that can be valued using PDEs or SDEs and are available as a C/C++/CUDA pricing executable, C/C++/CUDA pricing model source code or a ready-to-use Excel spreadsheet and add-in.

Commodity derivative features available with SciFinance
and Custom Fit Pricing Models

Pricing models for commodity derivatives

SciComp solutions support any commodity model that can be expressed as a PDE or SDE, so no list can be complete (partial list below).

• Schwartz
• Gabillon
• CEV (including time dependence)
• Stochastic volatility models
• Stochastic volatility with asset jumps (SVJ)
• Stochastic volatility with asset and volatility jumps (SVJJ)
• Arbitrary user defined

Pricing model calibration

SciCalibrator is an automated coding technology for translating a pricing model calibration specification into the corresponding C/C++ source code for the calibration routine or a ready-to-use Excel spreadsheet and add-in. SciCalibrator comes with over a dozen analytical pricers for valuing the underlying calibration instruments or, if you prefer, you may use your own pricer. If no analytical pricer is available, you can generate a SciFinance PDE or SDE pricing model for use in the calibration routine.

commodity derivative calibration routines include:

• Schwartz
• Gabillon
• CEV (including time dependence)
• Stochastic volatility models
• Stochastic volatility with asset jumps (SVJ)
• User defined calibration routine

Example commodity derivatives structures

Given that SciComp solutions support the modeling of any commodity derivative that can be priced with a PDE or SDE, no list can be complete (partial list below).

Examples of commodity derivatives:

• European/American Options
• Commodity Swaps
• European/Bermudan Commodity Swaptions
• Exchange Options
• Commodity Spread Options
• Average Price Options
• Barrier Options
• Hybrid Basket Contracts
• Swing and Take-Or-Pay Contracts