Express Yourself: Why Managers' Disclosure Tone Varies Across Time and What Investors Learn From It
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DOI: 10.1111/1911-3846.12561
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Cited by:
- Zhou, Weihua & Li, Yuanjie & Wang, Deli & Xueqin, Du & Ke, Yishun, 2024. "Management's tone in MD&A disclosure and investment efficiency: Evidence from China," Finance Research Letters, Elsevier, vol. 59(C).
- Wei, Lu & Jing, Haozhe & Huang, Jie & Deng, Yuqi & Jing, Zhongbo, 2023. "Do textual risk disclosures reveal corporate risk? Evidence from U.S. fintech corporations," Economic Modelling, Elsevier, vol. 127(C).
- Senave, Elseline & Jans, Mieke J. & Srivastava, Rajendra P., 2023. "The application of text mining in accounting," International Journal of Accounting Information Systems, Elsevier, vol. 50(C).
- Chen, Yuan & Han, Dongmei & Zhou, Xiaofeng, 2023. "Mining the emotional information in the audio of earnings conference calls : A deep learning approach for sentiment analysis of securities analysts' follow-up behavior," International Review of Financial Analysis, Elsevier, vol. 88(C).
- Yicheng Wang & Brian Wright, 2024. "Tax-strategy-related words, firm’s ability, and tax avoidance," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 21(4), pages 685-713, December.
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