Preview of Activities

Quiz

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Session 11

Big Data and Machine Learning in Investing

At the end of this week, you will be able to:

  1. Categorize and describe the distinguishing features of big data.
  2. Identify various applications of big data in finance.
  3. Outline common machine learning methods of supervised and unsupervised learning.
  4. Describe current and future ways in which machine learning is impacting (and is expected to impact) capital markets and investing.
  5. Explain several problems in machine learning in investing.



What is Big Data?

Computerphile, Rebecca Tickle

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Big Data in Finance

Big data in finance refers to large, diverse (structured and unstructured) and complex sets of data that can be used to provide solutions to long-standing business challenges for financial services and banking companies around the world.
n.d., Corporate Finance Institute

Why Big Tech Is Getting Into Finance

Wall Street Journal

Top Quants on Big Data and Disruption (6;45-16;15 only)

Bloomberg, Sandy Rattray and Heidi Ridley of Man Group - please watch the segment from 6;45-16;15

Machine Learning

Dr. Riordan

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Why finance is deploying natural language processing

Big data in finance refers to large, diverse (structured and unstructured) and complex sets of data that can be used to provide solutions to long-standing business challenges for financial services and banking companies around the world.
Nov 3, 2020, Tracy Mayor

Theory and Empirics

These readings are optional and will not be tested, but they provide excellent background for the topics discussed this week.

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Big data in finance and the growth of large firms

Two modern economic trends are the increase in firm size and advances in information technology. We explore the hypothesis that big data disproportionately benefits big firms.
August 2018, Begenau, Farboodi & Veldkamp

Laura Veldkamp on Modeling and Measuring the Data Economy

The five largest American companies derive most of their value not from physical assets, but from intangibles ones, like data. Data and new data technologies are changing production, labor and valuation.
April 2020, Veldkamp

Long Run Growth of Financial Data Technology

“Big data” financial technology raises concerns about market inefficiency. A common concern is that the technology might induce traders to extract others’ information, rather than to produce information themselves.
October 2019, Farboodi & Veldkamp

Deliverables

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