Can Facebook Predict Stock Market Activity?
Rotterdam School of Management, Erasmus University (RSM)
August 13, 2013
Using a novel and direct measure of investor sentiment, I find that Facebook's Gross National Happiness (GNH) has the ability to predict changes in both daily returns and trading volume in the US stock market. For instance, an increase of one standard deviation in GNH is associated with an increase of 11.23 basis points in market returns over the next day. Consistent with noise trader models, the influence of GNH on market returns is temporary and is reversed during the following trading weeks. I also verify the empirical validity of GNH by performing several tests in different natural settings.
Keywords: Investor sentiment, social media, behavioral finance, Facebook, social networks
JEL Classification: D81, G11, G12working papers series
Date posted: September 7, 2011 ; Last revised: August 19, 2014
© 2015 Social Science Electronic Publishing, Inc. All Rights Reserved.
This page was processed by apollo4 in 0.281 seconds