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The power of prediction with Google searches and social media posts: Retail investor interest and IPO pricing
Information & Management ( IF 8.2 ) Pub Date : 2024-05-06 , DOI: 10.1016/j.im.2024.103972
Ka Wai (Stanley) Choi , Wentao Ma , Shuk Ying Ho , Dickson Wu

This paper investigates the association between retail investors’ online activity and the pricing of initial public offerings (IPOs). We utilize data from Google Trends and StockTwits to analyze price revision for 901 U.S. IPOs, and find that the online search count, social media post count, and post sentiment are positively associated with IPO pricing. One-standard-deviation increases in these variables correspond to price revision increases of 9.02 %, 50.73 %, and 70.22 %, respectively. Additionally, online search plays a more significant role in influencing IPO price revision when social media discussions about a specific IPO exhibit higher sentiment inequality among participants.

中文翻译:


利用谷歌搜索和社交媒体帖子进行预测的力量:散户投资者兴趣和 IPO 定价



本文研究了散户投资者的在线活动与首次公开募股(IPO)定价之间的关联。我们利用 Google Trends 和 StockTwits 的数据分析了 901 家美国 IPO 的价格修正,发现在线搜索数量、社交媒体帖子数量和帖子情绪与 IPO 定价呈正相关。这些变量每增加一个标准差,分别对应于价格修正增幅 9.02%、50.73% 和 70.22%。此外,当有关特定 IPO 的社交媒体讨论在参与者之间表现出更高的情绪不平等时,在线搜索在影响​​ IPO 价格修正方面发挥着更重要的作用。
更新日期:2024-05-06
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