  Various companies have developed vaccines to combat the pandemic caused 2020
by the virus COVID-19. Such vaccines and the distribution can have a major
impact on the success of pharmaceutical companies, which in turn can show
itself in their valuation and stock price. This poses the question if and how
the trends or popularity of the companies might be connected to the value and
stock price of said entities. To gain some insight into these questions, the
work at hand looks at five COVID vaccine development companies and evaluates
their correlations over the development of the vaccine as well as after the
rollout start. The process was conducted by using python including various
libraries. The result of this analysis was that there is a significant
correlation between the Google Trend data and the respective stock prices
(retrieved from yahoo! Finance) of the companies on average, where the time
during the development of the drugs is more positively correlated and the
post-rollout periods show a shift to a slightly negative inclining correlation.
Furthermore, it was found that the smaller companies based on their market cap
show a higher price volatility overall. In addition, higher average trend
scores and thus popularity values were found after the rollout of the
respective companies. In conclusion, a correlations between the trend data and
the financial values have been found and corroborate the plots of the data. Due
to the small size of the sample, the result cannot yet be considered
statistically significant, but possibility for expansion exists and is already
being worked on.
