Do news headlines matter in the cryptocurrency market?

被引:19
作者
Anamika, Anamika [1 ]
Subramaniam, Sowmya [1 ]
机构
[1] Indian Inst Management Lucknow, Finance & Accounting Area, Lucknow, Uttar Pradesh, India
关键词
Cryptocurrency; news headlines; sentiment; Natural Language Processing; opinion mining; INVESTOR SENTIMENT; BITCOIN; RETURNS; VOLATILITY;
D O I
10.1080/00036846.2022.2061904
中图分类号
F [经济];
学科分类号
02 ;
摘要
The paper examines the influence of investor sentiment based on news headlines on the Cryptocurrency Market Index and ten individual cryptocurrency returns. We capture investors' sentiment from cryptocurrency-specific news headlines. We use a lexicon-based Natural Language Processing (NLP) technique to construct a unique sentiment indicator, and the sentiment scores are generated using two financial dictionaries: Henry(2008)(HE) and Loughran and Mcdonald(2011)(LM). The findings of the study show that news sentiment has a significant impact on cryptocurrency returns. When the investors' sentiment is optimistic or bullish, the cryptocurrency market experiences herding behaviour, leading to an increase in prices. The diverse and heterogeneous nature of the various cryptocurrencies causes each individual cryptocurrency to respond differently to sentiment. Further, we see that sentiment has a more pronounced impact on young, small, and volatile cryptocurrencies. Our study is among the few studies that use cryptocurrency-specific news headlines rather than news bodies to build a news sentiment indicator. JEL codes: E49, G14, G15
引用
收藏
页码:6322 / 6338
页数:17
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