Date of Submission

Spring 2020

Academic Program


Project Advisor 1

Sven Anderson

Project Advisor 2

Japheth Wood

Abstract/Artist's Statement

We apply sentiment analysis to correlate price movement for two financial indices with sentiment expressed on Twitter by a select group of 93 influential financial users. We gathered close prices for the VIX and SPX indices for one month from March through April 2020 during the early stage of the COVID-19 pandemic in the U.S. as schools and businesses shut down. Tweets were also gathered during this period, although there is a large gap in collected tweets of about two weeks. We examine correlations based on five temporal resolutions from 60 minutes to 1440, which is equivalently one day.. We also used temporal offsets to analyze the correlation between relatively future price movements and current tweet sentiment. We discovered that there are small correlations suggesting Twitter sentiment may be correlated with future VIX movement.

Open Access Agreement

Open Access

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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