Alternative Data in Finance

Event Type Start Time End Time
WebEx 19 Nov 2020 - 11:00 CET 19 Nov 2020 - 12:00 CET

Overview

Alternative Data in Finance – Enhancing data analysis to make more accurate short-term predictions using MATLAB.

The use of non-traditional data sources to generate alpha or assess risk has attracted a lot of interest amongst professional investors. However, many practitioners fail to generate useful results in a reasonable amount of time. Some are lacking knowledge how to efficiently extract the needed information from their alternative data sources. Others get lost in wasting time ramping up on different tools or struggle to bring the result together.

MathWorks’ breadth of technology, their experience in industries like Aerospace or Automotive and engineering disciplines such as signal or image processing addresses these challenges. MATLAB is an easy-to-use and customizable tool enabling you to get quick insights from alternative data without extensive coding. Furthermore, staying in one tool chain makes it easy to combine results from different domains, refine the analysis and build financial models on top.

Attend this webinar to see how you can use MATLAB to efficiently analyze satellite images, scrape data from HTML pages, get sentiment of market participants using social media posts and work with geographic data. With MATLAB as a versatile analysis platform you can smoothly combine alternative approaches with traditional financial algorithms as well as automate and productionize these new workflows. 

Highlights

Live demonstrations will show specific examples how to

  • Estimate earnings of retail outlets by counting cars in their parking lot using satellite images
  • Calibrate the economic activity of a city by assessing the luminosity of cities by night
  • Scrape data from HTML pages to get unstructured data into your MATLAB workspace to further build models and get insights
  • Calculate the sentiment of market participants by evaluating data from social media channels
  • Visualize infection data on a map to get a better sense of the cause and the impact of the outbreak of a disease

Who Should Attend

This session is relevant for anyone who are using, or planning to use, alternative data and natural language processing within their business, including:

  • Risk Professionals
  • Investment Professionals
  • Traders
  • Machine Learning Enthusiasts and Developers
  • Insurance Professionals
  • Data Engineers and Data Scouts

About the Presenter

Lawrence is a member of the Application Engineering team at MathWorks assisting customers in the development and deployment of financial applications. He holds M.Sc. in Financial Markets from EDHEC Business School. Prior to joining MathWorks he worked as a Quantitative Developer for an equity index provider. There he contributed to the development of equity strategies replicated by various asset managers and pension funds.

Product Focus

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