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How to Talk When a Machine is Listening?: Corporate Disclosure in the Age of AI
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Cited by:
- Sebastian Doerr & Leonardo Gambacorta & José María Serena Garralda, 2021. "Big data and machine learning in central banking," BIS Working Papers 930, Bank for International Settlements.
- Fu Xin & Huimiao Yu & Xuan Dong & Chunhua Chen, 2025. "When the customers comes to you: mobile apps and corporate investment efficiency," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-18, December.
- Sun, Sha & Qian, Gong & Yu, Jingjing, 2024. "The impacts of China's shadow banking regulation on bank lending—An empirical analysis based on textual analysis and machine learning," Pacific-Basin Finance Journal, Elsevier, vol. 88(C).
- von Bodman, Nicolas, 2024. "The impact of prospectus language on IPO underpricing: A textual analysis of European IPOs," Junior Management Science (JUMS), Junior Management Science e. V., vol. 9(4), pages 1934-1963.
- Klockmann, Victor & von Schenk, Alicia & Villeval, Marie Claire, 2022.
"Artificial intelligence, ethics, and intergenerational responsibility,"
Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 284-317.
- Victor Klockmann & Alicia von Schenk & Marie Claire Villeval, 2021. "Artificial Intelligence, Ethics, and Intergenerational Responsibility," Working Papers halshs-03237437, HAL.
- Victor Klockmann & Alicia von Schenk & Marie Claire Villeval, 2022. "Artificial Intelligence, Ethics, and Intergenerational Responsibility," Post-Print hal-03778525, HAL.
- Victor Klockmann & Alicia von Schenk & Marie Claire Villeval, 2021. "Artificial Intelligence, Ethics, and Intergenerational Responsibility," Working Papers 2110, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
- Klockmann, Victor & von Schenk, Alicia & Villeval, Marie-Claire, 2022. "Artificial intelligence, ethics, and intergenerational responsibility," SAFE Working Paper Series 335, Leibniz Institute for Financial Research SAFE.
- Baik, Bok & Kim, Alex G. & Kim, David S. & Yoon, Sangwon, 2025. "Vocal delivery quality in earnings conference calls," Journal of Accounting and Economics, Elsevier, vol. 80(1).
- Cao, Sean & Jiang, Wei & Wang, Junbo & Yang, Baozhong, 2024. "From Man vs. Machine to Man + Machine: The art and AI of stock analyses," Journal of Financial Economics, Elsevier, vol. 160(C).
- Vicente Cuñat & Moqi Groen-Xu, 2025.
"Timing Complex News to Target Attention,"
Management Science, INFORMS, vol. 71(9), pages 7774-7799, September.
- Cuñat, Vicente & Xu, Moqi, 2025. "Timing complex news to target attention," LSE Research Online Documents on Economics 122380, London School of Economics and Political Science, LSE Library.
- Pungaliya, Raunaq S. & Wang, Yanbo, 2023. "Machine invasion: Automation in information acquisition and the cross-section of stock returns," Journal of Financial Markets, Elsevier, vol. 64(C).
- Wolfgang Breuer & Andreas Knetsch, 2023. "Recent trends in the digitalization of finance and accounting," Journal of Business Economics, Springer, vol. 93(9), pages 1451-1461, November.
- Weber, Isabella M. & Wasner, Evan & Lang, Markus & Braun, Benjamin & van ’t Klooster, Jens, 2025. "Implicit coordination in sellers’ inflation: How cost shocks facilitate price hikes," Structural Change and Economic Dynamics, Elsevier, vol. 74(C), pages 690-712.
- Weber, Isabella & Wasner, Evan & Lang, Markus & Braun, Benjamin & Klooster, Jens van’t, 2025. "Implicit coordination in sellers’ inflation: how cost shocks facilitate price hikes," LSE Research Online Documents on Economics 128231, London School of Economics and Political Science, LSE Library.
- Wenting Song & Samuel Stern, 2022. "Firm Inattention and the Efficacy of Monetary Policy: A Text-Based Approach," Staff Working Papers 22-3, Bank of Canada.
- Xia, Linglan & Song, Jiao, 2024. "Cultural diversity, asset structure, and corporate litigation risk," Finance Research Letters, Elsevier, vol. 69(PB).
- Hunter Ng, 2024. "Strategic Control of Facial Expressions by the Fed Chair," Papers 2410.20214, arXiv.org.
- Rong Liu & Jujun Huang & Zhongju Zhang, 2023. "Tracking disclosure change trajectories for financial fraud detection," Production and Operations Management, Production and Operations Management Society, vol. 32(2), pages 584-602, February.
- Tom L. Dudda & Lars Hornuf, 2025. "The Perks and Perils of Machine Learning in Business and Economic Research," CESifo Working Paper Series 11721, CESifo.
- Sanjiv Das & Xin Huang & Soji Adeshina & Patrick Yang & Leonardo Bachega, 2023. "Credit Risk Modeling with Graph Machine Learning," INFORMS Joural on Data Science, INFORMS, vol. 2(2), pages 197-217, October.
- Agam Shah & Arnav Hiray & Pratvi Shah & Arkaprabha Banerjee & Anushka Singh & Dheeraj Eidnani & Sahasra Chava & Bhaskar Chaudhury & Sudheer Chava, 2024. "Numerical Claim Detection in Finance: A New Financial Dataset, Weak-Supervision Model, and Market Analysis," Papers 2402.11728, arXiv.org, revised Oct 2024.
- Yin, Libo & Zhu, Xiaoye & Li, Jingtian, 2025. "Does exposure to biodiversity risk drive firms’ digital transformation?," Finance Research Letters, Elsevier, vol. 82(C).
- Chen, Jean Jinghan & Song, Peiyang & Loi, Fai Lim, 2024. "Strategic forward-looking nonearnings disclosure and overinvestment," The British Accounting Review, Elsevier, vol. 56(6).
- Brückbauer, Frank & Cezanne, Thibault, 2022. "Bank manager sentiment, loan growth and bank risk," ZEW Discussion Papers 22-066, ZEW - Leibniz Centre for European Economic Research.
- Ziqian Peng & Haiyang Zhang & Peng Zhou & Junlin Ren & Yanbai Chen, 2025. "Enterprise digital transformation and inefficient investment: from the perspective of diversified operations and environmental uncertainty," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-16, December.
- Simone Vannuccini & Ekaterina Prytkova, 2021. "Artificial Intelligence’s New Clothes? From General Purpose Technology to Large Technical System," SPRU Working Paper Series 2021-02, SPRU - Science Policy Research Unit, University of Sussex Business School.
- Bush, Georgia & Cañón, Carlos, 2025. "Capital flows: The role of investment fund portfolio managers," Journal of International Economics, Elsevier, vol. 154(C).
- Ding, Rui & Guo, Jintong & Zhang, Min, 2024. "Practice a poker face: Manager emotion and investor sentiment," Pacific-Basin Finance Journal, Elsevier, vol. 85(C).
- Chen, Rui & Jiang, Haiqi & Guo, Tingyu & Fan, Chenyou, 2025. "Can Large Language Models forecast carbon price movements? Evidence from Chinese carbon markets," Research in International Business and Finance, Elsevier, vol. 77(PB).
- Lars Hornuf & David J. Streich & Niklas Töllich, 2025. "Making GenAI Smarter: Evidence from a Portfolio Allocation Experiment," CESifo Working Paper Series 11862, CESifo.
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