The Maple Financial Modelling Toolbox complements Maple’s multi-disciplinary environment with over 100 new commands, designed specifically for quantitative financial modelling and analysis. These can be combined with existing Maple tools – including ODE and PDE solvers, statistical data analysis optimization, and automatic code generation to C, FORTRAN, Visual Basic, and Java – to produce analytical applications and product prototypes in the Maple interactive document interface.
“Traders, quantitative and market analysts, as well as risk and portfolio managers can now use the power of symbolics in financial modelling to their competitive advantage,” said Jim Cooper, President and CEO, Maplesoft. “The Maple Financial Modelling Toolbox provides an environment for developing solutions, where manual mathematical manipulation is essentially eliminated. Customers can automatically derive models faster and more accurately than with numerical tools alone.”
Key features of the toolbox include:
- Interactive technical document interface, with intuitive 2-D equation editor for capturing and reusing knowledge as an informational asset
- Tools for creating and analysing term structures of interest rates
- Stochastic processes and simulation, and symbolic tools for manipulating stochastic variables
- Short-rate models and analytic formulas
- Full access to Maple functionality including closed-form and numeric ODE, PDE, and DAE solvers, in addition to linear and non-linear optimization
- Lattice methods, tools to construct binomial and trinomial trees
- When applied effectively, a financial model can help prevent major planning errors and provide strategic guidance. Using a computer-based system like Maple enables users to build models from first principles, manage calculations, and simplify documentation of results.
Details of selected key features
- Fully documented components (texts, images, etc.) that integrate mathematical formulas fully into a technical document and improve readability and the ability to grasp and simulate the problem.
- Intuitive and explicit insertion of mathematical objects.
Access the Maple kernel
Solvers for ODR, PDR, DAE, statistics, optimization and many other libraries. Improved graphical environment and editing capabilities of resulting graphs for advanced visualization. The ability to generate code in several languages: C, FORTRAN, Visual Basic®, Java ™, MATLAB®.
Sets of expert orders
Tools for creating and analyzing interest rate futures. Random processes, work with random variables, symbolic calculations and simulations such as Brown’s motion, Geometric Brown motion, Ornstein-Uhlenbeck process, Gauss-Markov process, Poisson and Gamma process, and many others.