RT Journal Article
SR Electronic
T1 Volatility Wisdom of Social Media Crowds
JF The Journal of Portfolio Management
FD Institutional Investor Journals
SP 136
OP 151
DO 10.3905/jpm.2017.43.2.136
VO 43
IS 2
A1 Ahmet K. Karagozoglu
A1 Frank J. Fabozzi
YR 2017
UL https://pm-research.com/content/43/2/136.abstract
AB In this article, the authors provide new evidence on the usefulness of investor sentiment extracted from social media by taking advantage of a new data source covering a more comprehensive social media sphere. They use a unique dataset of social anomaly scores (SAS) to assess the volatility wisdom of crowds and develop trading strategies constructed using social-media-based market volatility sentiment. Using market prices of the VIX-related (CBOE Volatility Index) exchange-traded products, the authors find that these strategies economically outperform a benchmark, while taking into account commissions and management fees.TOPICS: Volatility measures, VAR and use of alternative risk measures of trading risk, style investing