MATLAB Computational Finance Suite

Develop and scale models to manage financial risk

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The MATLAB Computational Finance Suite is a set of 12 essential products that enables you to develop quantitative applications for risk management, investment management, econometrics, pricing and valuation, insurance, and algorithmic trading.

The suite is offered as an annual license at a discounted package price.

Capabilities

With the MATLAB Computational Finance Suite, you can:

  • Chart historical and live market data
  • Perform time-series analysis and create predictive models
  • Model interest rates and perform sensitivity analyses on financial instruments
  • Solve portfolio optimization problems and perform risk attribution
  • Develop quantitative models to optimize performance and minimize risk
  • Integrate with data sources and legacy software
  • Develop and deploy applications to production environments, desktops, servers, and the web (deployment requires additional products)
Through the example of risk management, find out how the MATLAB Computational Finance Suite can help you solve risk problems.
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MATLAB Computational Finance Suite Overview

MATLAB Computational Finance Suite Product Set

Develop algorithms, create custom visualizations, and automate workflows. Learn more.

Fit curves and surfaces to data using regression, interpolation, and smoothing. Learn more.

Exchange data with relational and non-relational databases. Learn more.

Access financial data from data service providers. Learn more.

Model and analyze financial and economic systems using statistical methods. Learn more.

Design, price, and hedge complex financial instruments. Learn more.

Analyze financial data and develop financial models. Learn more.

Solve linear, quadratic, integer, and nonlinear optimization problems. Learn more.

Perform parallel computations on multicore computers, GPUs, and computer clusters. Learn more.

Develop risk models and perform risk simulation. Learn more.

Use MATLAB from Microsoft Excel. Learn more.

Analyze and model data using statistics and machine learning. Learn more.

See It in Use

Perform credit scorecard modeling from start to finish by using Binning Explorer, a new app in Risk Management Toolbox™, and built-in functions from Financial Toolbox™.
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Credit Scorecard Modeling Using the Binning Explorer App
Financial professionals worldwide use MATLAB and other MathWorks tools to rapidly develop financial models and freely deploy customized algorithms to decision makers such as investment managers, actuaries, and traders. Find out how MATLAB can help yo
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Using MATLAB to Develop and Deploy Financial Models
Learn how State-Space representation of time-series may be used to model stochastic processes. Through an example application, MathWorks engineers will show you how state-space models can be defined, calibrated, estimated, and used to forecast time-
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Stochastic State-Space Modeling of Financial Time-Series Data

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Extend Your Suite

Add products to your MATLAB Computational Finance Suite license to get additional simulation and analysis capabilities, application deployment, and connectivity to trading systems.

Modeling and Simulation
Global Optimization Toolbox
Deep Learning Toolbox
Symbolic Math Toolbox
Trading Toolbox

Application Deployment
MATLAB Compiler
MATLAB Compiler SDK
MATLAB Report Generator

High-Performance Computing
MATLAB Parallel Server
MATLAB Production Server