On the predictive ability of narrative disclosures in annual reports
Citations
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Cited by:
- Yubin Qian & Ya Sun, 2021. "The Correlation Between Annual Reports’ Narratives and Business Performance: A Retrospective Analysis," SAGE Open, , vol. 11(3), pages 21582440211, July.
- Kamaladdin Fataliyev & Aneesh Chivukula & Mukesh Prasad & Wei Liu, 2021. "Stock Market Analysis with Text Data: A Review," Papers 2106.12985, arXiv.org, revised Jul 2021.
- Gaizka Garechana & Rosa Río-Belver & Iñaki Bildosola & Marisela Rodríguez Salvador, 2017. "Effects of innovation management system standardization on firms: evidence from text mining annual reports," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1987-1999, June.
- Xue Wen Tan & Stanley Kok, 2024. "Explainable Risk Classification in Financial Reports," Papers 2405.01881, arXiv.org, revised Dec 2024.
- William L. Smith & David M. Boje & Kevin D. Melendrez, 2010. "The financial crisis and mark‐to‐market accounting," Qualitative Research in Accounting & Management, Emerald Group Publishing Limited, vol. 7(3), pages 281-303, August.
- Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2017. "A multidisciplinary perspective of big data in management research," International Journal of Production Economics, Elsevier, vol. 191(C), pages 97-112.
- Matteo Cinelli & Valerio Ficcadenti & Jessica Riccioni, 2021. "The interconnectedness of the economic content in the speeches of the US Presidents," Annals of Operations Research, Springer, vol. 299(1), pages 593-615, April.
- Pitschner, Stefan, 2020. "How do firms set prices? Narrative evidence from corporate filings," European Economic Review, Elsevier, vol. 124(C).
- Amy Richter & Kelvin Tsun Wai Ng & Bahareh Fallah, 2019. "Bibliometric and text mining approaches to evaluate landfill design standards," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1027-1049, March.
- Peter M. Clarkson & Jordan Ponn & Gordon D. Richardson & Frank Rudzicz & Albert Tsang & Jingjing Wang, 2020. "A Textual Analysis of US Corporate Social Responsibility Reports," Abacus, Accounting Foundation, University of Sydney, vol. 56(1), pages 3-34, March.
- Stefan Feuerriegel & Helmut Prendinger, 2018. "News-based trading strategies," Papers 1807.06824, arXiv.org.
- Gehan A. Mousa & Elsayed A. H. Elamir & Khaled Hussainey, 2022. "Using machine learning methods to predict financial performance: Does disclosure tone matter?," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 19(1), pages 93-112, March.
- Alasdair Reid, 2023. "Closing the Affordable Housing Gap: Identifying the Barriers Hindering the Sustainable Design and Construction of Affordable Homes," Sustainability, MDPI, vol. 15(11), pages 1-27, May.
- Lifang Zhang & Mohammad Zoynul Abedin & Zhenkun Liu, 2024. "Incorporating media news to predict financial distress: Case study on Chinese listed companies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1374-1398, August.
- Tsai, Ming-Feng & Wang, Chuan-Ju, 2017. "On the risk prediction and analysis of soft information in finance reports," European Journal of Operational Research, Elsevier, vol. 257(1), pages 243-250.
- David F. Larcker & Anastasia A. Zakolyukina, 2012.
"Detecting Deceptive Discussions in Conference Calls,"
Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 50(2), pages 495-540, May.
- Larcker, David F. & Zakolyukina, Anastasia A., 2010. "Detecting Deceptive Discussions in Conference Calls," Research Papers 2060, Stanford University, Graduate School of Business.
- Brent McKENZIE, 2021. "Retail Brand Evolution: The Case of Tallinna Kaubamaja Estonia’s Department Store," Journal of Emerging Trends in Marketing and Management, The Bucharest University of Economic Studies, vol. 1(1), pages 99-109, August.
- Balasingham Balachandran & Robert W. Faff & Sagarika Mishra & Syed Shams, 2025. "Target firm's integrity culture and M&A performance," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 52(1), pages 433-471, February.
- Katsafados, Apostolos G. & Androutsopoulos, Ion & Chalkidis, Ilias & Fergadiotis, Manos & Leledakis, George N. & Pyrgiotakis, Emmanouil G., 2020. "Textual Information and IPO Underpricing: A Machine Learning Approach," MPRA Paper 103813, University Library of Munich, Germany.
- Sagarika Mishra & Michael T. Ewing & Holly B. Cooper, 2022. "Artificial intelligence focus and firm performance," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1176-1197, November.
- Apostolos G. Katsafados & Dimitris Anastasiou, 2024.
"Short-term prediction of bank deposit flows: do textual features matter?,"
Annals of Operations Research, Springer, vol. 338(2), pages 947-972, July.
- Katsafados, Apostolos & Anastasiou, Dimitris, 2022. "Short-term Prediction of Bank Deposit Flows: Do Textual Features matter?," MPRA Paper 111418, University Library of Munich, Germany.
- Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2019. "Technology in the 21st century: New challenges and opportunities," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 321-335.
- Mengke Qiao & Ke-Wei Huang, 2021. "Correcting Misclassification Bias in Regression Models with Variables Generated via Data Mining," Information Systems Research, INFORMS, vol. 32(2), pages 462-480, June.
- Ingrid E. Fisher & Margaret R. Garnsey & Mark E. Hughes, 2016. "Natural Language Processing in Accounting, Auditing and Finance: A Synthesis of the Literature with a Roadmap for Future Research," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(3), pages 157-214, July.
- Matteo Cinelli & Valerio Ficcadenti & Jessica Riccioni, 2020. "The interconnectedness of the economic content in the speeches of the US Presidents," Papers 2002.07880, arXiv.org.
- Chung, Wingyan, 2014. "BizPro: Extracting and categorizing business intelligence factors from textual news articles," International Journal of Information Management, Elsevier, vol. 34(2), pages 272-284.
- Agarwal, Arvind & Gupta, Aparna & Kumar, Arun & Tamilselvam, Srikanth G., 2019. "Learning risk culture of banks using news analytics," European Journal of Operational Research, Elsevier, vol. 277(2), pages 770-783.
- Katsafados, Apostolos G. & Leledakis, George N. & Pyrgiotakis, Emmanouil G. & Androutsopoulos, Ion & Fergadiotis, Manos, 2024.
"Machine learning in bank merger prediction: A text-based approach,"
European Journal of Operational Research, Elsevier, vol. 312(2), pages 783-797.
- Katsafados, Apostolos G. & Leledakis, George N. & Pyrgiotakis, Emmanouil G. & Androutsopoulos, Ion & Fergadiotis, Manos, 2021. "Machine Learning in U.S. Bank Merger Prediction: A Text-Based Approach," MPRA Paper 108272, University Library of Munich, Germany.
- Gow, Ian D. & Kaplan, Steven N. & Larcker, David F. & Zakolyukina, Anastasia A., 2016.
"CEO Personality and Firm Policies,"
Research Papers
3444, Stanford University, Graduate School of Business.
- Ian D. Gow & Steven N. Kaplan & David F. Larcker & Anastasia A. Zakolyukina, 2016. "CEO Personality and Firm Policies," NBER Working Papers 22435, National Bureau of Economic Research, Inc.
- Kwak, Kiho & Kim, Namil & Lee, Haneul, 2026. "Unpacking digital servitization and firm performance in B2B manufacturing: Evidence from U.S. firms," Technovation, Elsevier, vol. 150(C).
- Xue Wen Tan & Stanley Kok, 2025. "Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach," Papers 2506.23767, arXiv.org, revised Jul 2025.
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