Volatility Wisdom of Social Media Crowds
利用更全面的社交媒体数据提取投资者情绪，构建基于市场波动情绪的量化交易策略，发现其经济表现优于基准，且考虑了交易成本。
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. <b>TOPICS:</b>Volatility measures, VAR and use of alternative risk measures of trading risk, style investing