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Using MATLAB in Insurance and Actuarial Science

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Martin Demel, MathWorks

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.

In this introductory webinar you will learn about the capabilities MATLAB offers to experiment and test your ideas by running simulations quickly, ensuring the models are traceable, transparent and documented. Pertly due to the introduction of Solvency II, there is increasing demand of working in a white box environment, being able to customize algorithms, models, and reports on your own.

You will learn how to use MATLAB and related toolboxes to: Easily access historical customer and industry data, perform statistical trend analysis and generalized linear modeling, adjust statistical distributions, run Monte Carlo simulations, view cash flows, and build hedging strategies.

Find out how MATLAB can help you significantly reduce the time it takes to analyze financial data and develop custom financial models, especially for insurance and actuarial science.  See what some of our insurance related customers have developed with our tools.

This webinar is relevant to practitioners or academics in finance whose focus is quantitative analysis, risk analysis and projection, pricing and valuation, and modeling - particularly but not exclusively actuaries and professionals in the insurance industry. Familiarity with MATLAB is helpful, but not required.


  • Examples based on MATLAB for different areas of insurance and actuarial science
  • A quick overview of the MATLAB desktop environment
  • Accessing and analyzing financial data
  • Developing and deploying complete applications

Product Focus

  • Statistics and Machine Learning Toolbox
  • Optimization Toolbox

Recorded: 20 Jun 2012