题　目：How Do Big Data Affect Face-to-Face Interactions? Evidence from Analyst Site Visits

嘉　宾：王洁璇 讲师 南开大学

主持人：李烁 助理教授 BAT365唯一官网

时　间：2025年03月05日（周三）14:00-15:30

地　点：BAT365唯一官网 徐汇校区安泰楼A503室

内容简介:

We examine whether the availability of big data drive more face-to-face interactions. Using the introduction of granular online-sales data as the setting, we find that the availability of these big data sources leads to a significant increase in analysts’ corporate site visits, particularly for firms heavily reliant on online sales channels, and among analysts with a history of such visits. Textual analysis reveals an increase in soft information content communicated during site visits. Furthermore, this intensified information gathering effort from face-to-face interactions correlates with enhanced analyst forecast accuracy, especially for visits received by CEOs. Our results suggest that big data do not substitute traditional information sources but rather complement them by crowding in more efforts for face-to-face interactions from analysts, highlighting the indispensable role of soft information in financial analysis.

演讲人简介：

王洁璇，南开大学商学院会计系讲师（助理教授），2022年获新加坡国立大学会计系博士学位，2017年获新加坡国立大学系统工程与管理及金融数学荣誉学士学位。目前的研究方向包括大数据与金融市场，分析师行为、审计市场的人力资本等。

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