Yan, Lu; Wang, Yunyuan; Li, Chang-Shuai; Tang, Guohao - 2022
This paper proposes a novel approach to extract information from textual data for explaining cross-sectional stock returns, which overcomes the deficiencies of the traditional media tone measurement. We observe that firms with high media abnormal tone generate lower future returns than those...