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Getting Started Resources

Explore the following resources to get started using MATLAB for your financial and risk management tasks.

Data Access

Use MATLAB to retrieve data from sources such as files, databases, and data feeds.

Using the Database Explorer App (9:00) - Video
Database Product Features - Overview

Financial Model Development

Don't start from scratch. Instead, MATLAB provides function libraries for topics ranging from general mathematics to specific finance applications.

MATLAB Computational Finance Suite Overview

Getting Started with Portfolio Optimization (4:12) - Video
Machine Learning Applications in Risk Management (2 videos) - Video Series
Sanlam Multi-Manager International Develops Dashboard for Quantitative Risk Analysis - User Story
Systematic Fraud Detection Through Automated Data Analytics in MATLAB - Article
Exchange Data Between MATLAB and Excel (2:18) - Video
How to Execute a Custom MATLAB Function in Excel (1:53) - Video

Parallel Computing

Leverage the computational power of mulitcore desktops, GPUs, or clusters using MATLAB.

Parallel Computing with MATLAB and Simulink

Olam CFSG Develops Trade Management System for Commodity and Derivative Markets - User Story
PZU Group Develops Market Risk Model for Solvency II Directive Compliance - User Story

Production Deployment

It is a myth that MATLAB can only be used for research and development. In fact, MATLAB algorithms can be, and are, integrated with IT systems for production deployment.

Enterprise IT Integration of MATLAB Programs