Volatility Wisdom of Social Media Crowds

被引:6
作者
Karagozoglu, Ahmet K. [1 ]
Fabozzi, Frank J. [2 ]
机构
[1] Hofstra Univ, Finance, Hempstead, NY 11550 USA
[2] EDHEC Business Sch, Finance, Nice, France
关键词
INFORMATION-CONTENT; TWITTER; NOISE; SENTIMENT; TALK; NEWS;
D O I
10.3905/jpm.2017.43.2.136
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
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. © 2017, Institutional Investor, Inc. All rights reserved.
引用
收藏
页码:136 / 151
页数:16
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