COVID-19 and the stock market: evidence from Twitter
Rahul Goel, Lucas Javier Ford, Maksym Obrizan, Rajesh Sharma

TL;DR
This study analyzes how COVID-19 related Twitter discussions influence US stock market returns, revealing that increased mentions of 'stock' correlate with significant declines in major indices during early 2020.
Contribution
It provides empirical evidence linking social media discourse on COVID-19 to stock market fluctuations using a large Twitter dataset.
Findings
More frequent 'stock' mentions correlate with stock declines
Results are robust across multiple checks
Twitter activity impacts US stock indices during COVID-19
Abstract
COVID-19 has had a much larger impact on the financial markets compared to previous epidemics because the news information is transferred over the social networks at a speed of light. Using Twitter's API, we compiled a unique dataset with more than 26 million COVID-19 related Tweets collected from February 2nd until May 1st, 2020. We find that more frequent use of the word "stock" in daily Tweets is associated with a substantial decline in log returns of three key US indices - Dow Jones Industrial Average, S&P500, and NASDAQ. The results remain virtually unchanged in multiple robustness checks.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCOVID-19 Pandemic Impacts · Sentiment Analysis and Opinion Mining · Stock Market Forecasting Methods
