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【题目】 Measuring Misinformation in Financial
Markets ( Working Paper, 2024 ) 【摘要】 We propose a framework for measuring
firm-level misinformation. By leveraging advanced machine learning and AI
technologies, we transform and categorize unstructured text into comparable
information, extract "truth" from each set of comparable information,
and quantify the degree of misinformation based on divergence from the
"truth." Applying our framework to analyze 254.8 million textual
materials, we validate its effectiveness in quantifying misinformation. We find
that firms with weaker balance sheets and poorer governance structures exhibit
higher misinformation, and misinformation spikes during major corporate events.
We also demonstrate that misinformation significantly impacts investors'
attention, trading volumes, stock returns, and risks. 【汇报人】王子路(复旦大学经济学院博士研究生) 【时间】 2024 年 9 月 10 日(周二) 20:30-22:00
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