Date of Award
Thesis Professor Department
Economics and Finance
A new paradigm in investing has been created where people have easier access than ever to invest in the stock market from the convenience of their phones. Through zero-commission trading apps, like Robinhood, less starting capital is required. This research is used to investigate the relationship between the frequency of social media mentions on Twitter and a particular stock’s volatility. This will be done using the qualitative data analyzing tool AtlasTi to calculate the frequency in which a particular stock ticker is mentioned on Twitter during trading hours. The volatility of the stock will be calculated using data from Yahoo! Finance. Using a panel data analysis, our evaluation reveals that there is a statistically significant relationship between the number of Tweets both one and two days before and the volatility of the stock based on percent change. Additionally, there is a statistically significant relationship between the number of Tweets the day before and the volatility of the stock based on volume traded. It is intended that our research will aid future investors when making decisions on how to invest in assets heavily mentioned on social media.
East Tennessee State University
Honors Thesis - Open Access
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
Day, Connor, "The Relationship Between Twitter Mentions & Stock Volatility During Trading Hours" (2022). Undergraduate Honors Theses. Paper 680. https://dc.etsu.edu/honors/680
Copyright by the authors.