Faculty Advisor

Koutmos, Dimitrios


Our team conducted a 15-week regression analysis in which we observed whether or not Google Search Volume (GSV) can serve as an explanatory variable for stock market returns, in particular, for the New York Stock Exchange (NYSE). The study attempts to provide quantitative evidence that the Efficient Market Hypothesis, which states that stock market returns cannot be explained with factual evidence, is false. The group researched the fundamentals behind stock market swings, as well as the cause for various movements in Google Trends. Through running Microsoft Excel regressions on these two sets of data, we can conclude that there is a positive correlation between search terms on GSV and the NYSE. That is, one has the potential to predict various stock index results based on GSV trends.


Worcester Polytechnic Institute

Date Accepted

October 2016

Project Type

Interactive Qualifying Project



Advisor Department