The impact of Twitter sentiment on renewable energy stocks

被引：71

作者：

Reboredo, Juan C. ^{[1
]}

Ugolini, Andrea ^{[2
]}

机构：

[1] Univ Santiago de Compostela, Dept Econ, Santiago De Compostela, Spain

[2] Univ Estado Rio de Janeiro, Dept Quantitat Anal, Rio De Janeiro, RJ, Brazil

来源：

ENERGY ECONOMICS | 2018年 / 76卷

关键词：

Twitter; Social media; Sentiment; Renewable energy; Stock market; INVESTOR SENTIMENT; SOCIAL MEDIA; OIL; WISDOM; CROWDS;

D O I：

10.1016/j.eneco.2018.10.014

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

We study the impact of Twitter sentiment and sentiment divergence on returns, volatility and trading volumes for renewable energy stocks. Based on daily time series for Twitter sentiment and Twitter sentiment divergence, we estimate VAR models and evaluate spillovers between sentiment and renewable energy stock pricing and trading. We find that whereas Twitter sentiment has no sizeable impact on returns, volatility or trading volumes, Twitter sentiment divergence generates feedback effects on volatility and trading volumes. Our evidence would indicate that the wisdom of the Twitter crowd is not substantial in shaping prices and trading for renewable energy companies. (C) 2018 Elsevier B.V. All rights reserved.

引用

页码：153 / 169

页数：17

共 33 条

[1] Does Mood Explain the Monday Effect? [J].