Presentation Title

Social media content and stock returns

Location

Lilliard Science Center A 044

Abstract

As social media continues to hold an increasingly dominant position in individuals’ lives, its potency across all levels of society similarly develops. Internet sentiment extraction firms provide information on internet users’ dispositions towards a variety of factors. In the financial industry, investment firms are paying up to $15 000 for sentiment data per security in order to produce more profitable investment strategies. Our trading algorithm (programmed and tested on the cloud-sourced hedge fund "Quantopian") utilizes sentiment data from Twitter as a means of measuring the efficacy of an internet sentiment analysis strategy in stock trading. Our project sought to develop a low volatile strategy that yields positive returns.

Presentation Type

Group Talk

Start Date

4-10-2018 2:30 PM

End Date

4-10-2018 3:45 PM

Panel

Finance and Investment

Field of Study for Presentation

Finance

No downloadable materials are available for this event.

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Apr 10th, 2:30 PM Apr 10th, 3:45 PM

Social media content and stock returns

Lilliard Science Center A 044

As social media continues to hold an increasingly dominant position in individuals’ lives, its potency across all levels of society similarly develops. Internet sentiment extraction firms provide information on internet users’ dispositions towards a variety of factors. In the financial industry, investment firms are paying up to $15 000 for sentiment data per security in order to produce more profitable investment strategies. Our trading algorithm (programmed and tested on the cloud-sourced hedge fund "Quantopian") utilizes sentiment data from Twitter as a means of measuring the efficacy of an internet sentiment analysis strategy in stock trading. Our project sought to develop a low volatile strategy that yields positive returns.