Annual report tone and divergence of opinion: evidence from textual analysis

By utilizing web-crawling and text analysis techniques on unstructured big data (text sets), this study examines to what extent investors disagree with the sentiment conveyed in annual reports. The main empirical findings suggest that the tone of annual reports significantly influences investor opin...

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Bibliographic Details
Main Authors: Zhihao Qin, Menglin Cui
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Journal of Applied Economics
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/15140326.2024.2354641
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