Getting Started with Quantitative Finance and Risk Management

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.

Use tables to collect, filter, modify, and manipulate financial data with Financial Toolbox.

5:33

Using Tables for Financial Data

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.

Through the example of risk management, find out how the MATLAB Computational Finance Suite can help you solve risk problems.

3:13

MATLAB Computational Finance Suite Overview

Getting Started with Portfolio Optimization (4:12) - Video
Machine Learning Applications in Risk Management (3 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

Parallel Computing

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

46:46

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.

The MATLAB Production Server will allow you to reliably scale the deployment of your MATLAB applications and centrally manage multiple version of MATLAB programs and runtimes.

23:19

Enterprise IT Integration of MATLAB Programs