Student Work

Modeling Investor Sentiment to Protect Against Downside Market Risk

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The goal for this Major Qualifying Project was to research, examine, create, and modify existing algorithmic trading strategies in order to account for investor sentiment. We were able to quantify investor sentiment through the use of publicly available pageview data from prominent Internet organizations. With this data, we tested several strategies, some of which were market-blind in the sense that they traded only on the basis of sentiment indicators. While we do not refute that sentiment indicators are likely (in some respect) driven by market indicators such as asset pricing and volatility, finding a successful strategy that trades solely on the basis of sentiment indicators is a challenge.

  • This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
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Identifier
  • E-project-042716-134018
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Year
  • 2016
Date created
  • 2016-04-27
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Major
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Permanent link to this page: https://digital.wpi.edu/show/kd17cv34c