In the Red(dit): Social Media and Stock Prices
This addresses the problem of predicting stock market movements for investors by leveraging social media data, but it is incremental as it builds on existing factor models with new data sources.
The paper investigates the relationship between social media activity and stock prices by incorporating daily frequencies of classified comments and buzzwords into a Fama-French three factor model, finding that social media embeds information correlating with market movements, as demonstrated in the GameStop short squeeze.
Spearheaded by retail traders on the website reddit, the GameStop short squeeze of early 2021 shows that social media embeds information that correlates with market movements. This paper seeks to examine this relationship by using daily frequencies of classified comments and buzzwords as additional factors in a Fama-French three factor model. Comments are classified using an unsupervised clustering method, while past studies have used pretrained models that are not specific to the domains being studied.