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文章基本信息

  • 标题:Google search based sentiment indexes
  • 本地全文:下载
  • 作者:Ana Brochado
  • 期刊名称:IIMB Management Review
  • 印刷版ISSN:0970-3896
  • 出版年度:2020
  • 卷号:32
  • 期号:3
  • 页码:325-335
  • DOI:10.1016/j.iimb.2019.10.015
  • 语种:English
  • 出版社:Elsevier B.V.
  • 摘要:This study sought to confirm whether Internet search based data have the potential both to reveal populations’ underlying beliefs directly and to affect stock markets of countries – in this case, Portugal. Based on the Internet search volume of several queries related to household concerns, we constructed two Google-based sentiment measures – a Positive Sentiment Index and a Negative Sentiment Index – encompassing both positive and negative search terms. The results reveal that bothmeasures are correlated with aggregate stock market returns, trading volume, and abnormal trading volume. Also, positive sentiment has a stronger impact on these stock market variables than negative sentiment. Further, the proposed sentiment measures are significantly useful when making short-term predictions ofmarket returns and volume.
  • 关键词:Investor sentiment;Search-based data;Stock market;Portugal
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