Business Commons^™

Do Students Buy Attention-Grabbing Stocks? A Field Experiment, George Psaradakis

Business and Economics Honors Papers

In this paper, we look to find out whether or not student investors are drawn to “attention-grabbing” stocks. We define “attention-grabbing” stocks as those that are issued by companies with either large numbers of Twitter followers, large general marketing budgets, or both. Our theory is that the more followers that a publicly traded company has on Twitter and/or the more money the company spends on marketing and advertising, the more likely a student would be to invest in its stock.

A field experiment was conducted in which undergraduate students constructed their own virtual stock portfolios. A treatment group was given …

Twitter’S Relationship With Overreaction In Individual Security Returns, David Halle

CMC Senior Theses

Using stock market return data from 2007 to 2019 from The Center for Research in Security Prices, I inquire into the impact that Twitter has on the overreactions of individual stock returns by breaking down returns into pre and post-Twitter periods. I examine negative serial correlation, demonstrating return reversals, between a lag crossed Twitter dummy variable and initial returns. With stock reversals serving as an indicator of initial overreaction and assuming stationarity of overreactions over time, I find that the presence of Twitter results in significantly more overreactions for highly followed companies when using monthly returns. However, when assessing Twitter’s …

A Little Birdy Told Me: Analysis Of The Impact Of Public Tweet Sentiment On Stock Prices, Alexander Novitsky

CMC Senior Theses

The combination of the advent of the internet in 1983 with the Securities and Exchange Commission’s ruling allowing firms the use of social media for public disclosures merged to create a wealth of user data that traders could quickly capitalize on to improve their own predictive stock return models. This thesis analyzes some of the impact that this new data may have on stock return models by comparing a model that uses the Index Price and Yesterday’s Stock Return to one that includes those two factors as well as average tweet Polarity and Subjectivity. This analysis is done with ten …