Wisdom of crowds and commodity pricing

被引:5
作者
Fan, John Hua [1 ,3 ]
Binnewies, Sebastian [2 ]
De Silva, Sanuri [1 ]
机构
[1] Griffith Univ, Griffith Business Sch, Dept AFE, Nathan, Qld, Australia
[2] Griffith Univ, Sch Informat & Commun Technol, Gold Coast, Qld, Australia
[3] Griffith Univ, Griffith Business Sch, Dept AFE, 170 Kessels Rd, Nathan, Qld 4111, Australia
关键词
behavioral; commodity futures; social media; sentiment; textual analysis; CROSS-SECTION; HEDGING PRESSURE; FUTURES; SENTIMENT; MOMENTUM; RISK; RETURNS; SEASONALITY;
D O I
10.1002/fut.22393
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
We extract commodity-level sentiment from the Twittersphere in 2009-2020. A long-short strategy based on sentiment shifts more than doubles the Sharpe ratio of extant commodity factors. Commodities with lower (higher) sentiment shifts tend to be overvalued (undervalued) when the aggregate market is in backwardation (contango). The sentiment premium is more pronounced during periods of macro contraction and deteriorating funding liquidity. While the premium concentrates in commodities with higher tweet intensity, sentiment extracted from influential tweets (i.e., high number of retweets/likes) does not exhibit stronger predictive ability than low-attention tweets. Consistent with the overreaction hypothesis, the sentiment premium fully reverses 3 years postformation.
引用
收藏
页码:1040 / 1068
页数:29
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