Tweet Influence on Market Trends: Analyzing the Impact of Social Media
  Sentiment on Biotech Stocks
C. Sarai R. Avila
This study investigates the relationship between tweet sentiment across
diverse categories: news, company opinions, CEO opinions, competitor opinions,
and stock market behavior in the biotechnology sector, with a focus on
understanding the impact of social media discourse on investor sentiment and
decision-making processes. We analyzed historical stock market data for ten of
the largest and most influential pharmaceutical companies alongside Twitter
data related to COVID-19, vaccines, the companies, and their respective CEOs.
Using VADER sentiment analysis, we examined the sentiment scores of tweets and
assessed their relationships with stock market performance. We employed ARIMA
(AutoRegressive Integrated Moving Average) and VAR (Vector AutoRegression)
models to forecast stock market performance, incorporating sentiment covariates
to improve predictions. Our findings revealed a complex interplay between tweet
sentiment, news, biotech companies, their CEOs, and stock market performance,
emphasizing the importance of considering diverse factors when modeling and
predicting stock prices. This study provides valuable insights into the
influence of social media on the financial sector and lays a foundation for
future research aimed at refining stock price prediction models.