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What Are You Saying? Using topic to Detect Financial Misreporting

Citations

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Cited by:

  1. Zhan, Baoqiang & Wu, Chong, 2024. "Star power: A quasi-natural experiment on how analyst status affects recommendation performance," Finance Research Letters, Elsevier, vol. 59(C).
  2. Li, Guowen & Wang, Shuai & Feng, Yuyao, 2024. "Making differences work: Financial fraud detection based on multi-subject perceptions," Emerging Markets Review, Elsevier, vol. 60(C).
  3. Saeed, Asif & Hamid, Samreen & Suntraruk, Phassawan & Toumi, Narjess, 2024. "Ethical guardians: The multifaceted impact of CSR committee on executives manipulation tendencies," International Review of Economics & Finance, Elsevier, vol. 96(PC).
  4. Adriana Tiron-Tudor & Widad Atena Faragalla & Anca Pianoschi, 2025. "The role of the accountancy professionals in detecting and preventing fraud, in a digital landscape: a systematic literature review," Digital Finance, Springer, vol. 7(4), pages 745-786, December.
  5. Favourate y Mpofu, 2023. "The application of Artificial Intelligence in external auditing and its implications on audit quality? A review of the ongoing debates," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 12(9), pages 496-512, December.
  6. Ge Zhang & Yuxiang Gao & Gaoyong Li, 2023. "Research on Digital Transformation and Green Technology Innovation—Evidence from China’s Listed Manufacturing Enterprises," Sustainability, MDPI, vol. 15(8), pages 1-23, April.
  7. Oehler, Andreas & Neuss, Charlotte, 2025. "ESG disclosure vs. ESG ratings: Consistent information value?," International Review of Financial Analysis, Elsevier, vol. 107(C).
  8. Ruijie Sun & Feng Liu & Yinan Li & Rongping Wang & Jing Luo, 2024. "Machine Learning for Predicting Corporate Violations: How Do CEO Characteristics Matter?," Journal of Business Ethics, Springer, vol. 195(1), pages 151-166, November.
  9. Zhou, Ying & Xiao, Zhi & Gao, Ruize & Wang, Chang, 2024. "Using data-driven methods to detect financial statement fraud in the real scenario," International Journal of Accounting Information Systems, Elsevier, vol. 54(C).
  10. Fengler, Matthias R. & Phan, Tri Minh, 2025. "Unveiling themes in 10-K disclosures: A new topic modeling perspective," International Review of Financial Analysis, Elsevier, vol. 103(C).
  11. Zhao, Shuping & Xu, Kai & Wang, Zhao & Liang, Changyong & Lu, Wenxing & Chen, Bo, 2022. "Financial distress prediction by combining sentiment tone features," Economic Modelling, Elsevier, vol. 106(C).
  12. Wei, Mingye & Zhang, Min & Wei, Lu & Chen, Meiqi, 2025. "IPOhelper: Mining features in registration statements for listing prediction of technological innovation companies," Emerging Markets Review, Elsevier, vol. 68(C).
  13. Blankespoor, Elizabeth, 2022. "Understanding investor interaction with firm information: A discussion of Lee and Zhong (2022)," Journal of Accounting and Economics, Elsevier, vol. 74(2).
  14. Tang, Wenjin & Bu, Hui & Zuo, Yuan & Wu, Junjie, 2024. "Unlocking the power of the topic content in news headlines: BERTopic for predicting Chinese corporate bond defaults," Finance Research Letters, Elsevier, vol. 62(PA).
  15. Yin, Lei & Sun, Guanglin & Kong, Tao, 2025. "Regional big data development and corporate financial fraud," Pacific-Basin Finance Journal, Elsevier, vol. 90(C).
  16. Olga Bogachek & Antonio De Vito & Paul Demeré & Francesco Grossetti, 2026. "Using narrative disclosures to predict tax outcomes," Review of Accounting Studies, Springer, vol. 31(1), pages 374-412, March.
  17. Zhao, Qi & Xu, Weijun & Ji, Yucheng, 2023. "Predicting financial distress of Chinese listed companies using machine learning: To what extent does textual disclosure matter?," International Review of Financial Analysis, Elsevier, vol. 89(C).
  18. Belen Blanco & Sandip Dhole & Ferdinand A. Gul, 2023. "Financial statement comparability and accounting fraud," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 50(7-8), pages 1166-1205, July.
  19. Xin Xu & Feng Xiong & Zhe An, 2023. "Using Machine Learning to Predict Corporate Fraud: Evidence Based on the GONE Framework," Journal of Business Ethics, Springer, vol. 186(1), pages 137-158, August.
  20. Hoang, Daniel & Wiegratz, Kevin, 2022. "Machine learning methods in finance: Recent applications and prospects," Working Paper Series in Economics 158, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
  21. Essi Nousiainen & Mikko Ranta & Mika Ylinen & Marko Järvenpää, 2024. "Using machine learning and 10‐K filings to measure innovation," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(4), pages 3211-3239, December.
  22. Simon Jehnen & Joaqu'in Ordieres-Mer'e & Javier Villalba-D'iez, 2025. "FinTextSim: Enhancing Financial Text Analysis with BERTopic," Papers 2504.15683, arXiv.org.
  23. Slavko ?odan, 0000. "Can Accrual-based Metrics Indicate Material Accounting Misstatements? Evidence on Audit Adjustments," Proceedings of Economics and Finance Conferences 14416287, International Institute of Social and Economic Sciences.
  24. Richard Frankel & Jared Jennings & Joshua Lee, 2022. "Disclosure Sentiment: Machine Learning vs. Dictionary Methods," Management Science, INFORMS, vol. 68(7), pages 5514-5532, July.
  25. Hadro Dominika & Patora-Wysocka Zofia & Fijałkowska Justyna & Mróz-Gorgoń Barbara, 2023. "Sustainability and Fast Fashion from the Executive Perspective – the Case of LPP S.A," Journal of Intercultural Management, Sciendo, vol. 15(3), pages 148-178, September.
  26. Yasheng Chen & Xian Huang & Zhuojun Wu, 2023. "From natural language to accounting entries using a natural language processing method," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(4), pages 3781-3795, December.
  27. Hui, Kai Wai & Oh, Jun & She, Guoman & Yeung, P. Eric, 2025. "Contract contingencies and uncertainty: Evidence from product market contracts," Journal of Accounting and Economics, Elsevier, vol. 79(2).
  28. Li, Jingyu & Guo, Ce & Lv, Sijia & Xie, Qiwei & Zheng, Xiaolong, 2024. "Financial fraud detection for Chinese listed firms: Does managers' abnormal tone matter?," Emerging Markets Review, Elsevier, vol. 62(C).
  29. Saeed, Asif & Hamid, Samreen & Manita, Riadh & Suntraruk, Phassawan, 2025. "CSR decoupling and financial fraud: Unveiling the hidden nexus in US-listed firms," Research in International Business and Finance, Elsevier, vol. 75(C).
  30. von Zedlitz, Gerrit, 2023. "Mind the gap?! The current state of biodiversity reporting," SAFE White Paper Series 95, Leibniz Institute for Financial Research SAFE.
  31. Miao Liu, 2022. "Assessing Human Information Processing in Lending Decisions: A Machine Learning Approach," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 60(2), pages 607-651, May.
  32. Moritz Schneider & Rolf Brühl, 2023. "Disentangling the black box around CEO and financial information-based accounting fraud detection: machine learning-based evidence from publicly listed U.S. firms," Journal of Business Economics, Springer, vol. 93(9), pages 1591-1628, November.
  33. Anastassia Fedyk & James Hodson & Natalya Khimich & Tatiana Fedyk, 2022. "Is artificial intelligence improving the audit process?," Review of Accounting Studies, Springer, vol. 27(3), pages 938-985, September.
  34. Achakzai, Muhammad Atif Khan & Peng, Juan, 2023. "Detecting financial statement fraud using dynamic ensemble machine learning," International Review of Financial Analysis, Elsevier, vol. 89(C).
  35. Charles P. Cullinan & Richard Holowczak & David Louton & Hakan Saraoglu, 2023. "Costs associated with exit or disposal activities: A topic modeling investigation of disclosure and market reaction," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 30(4), pages 173-191, October.
  36. Shuili Du & Assaad El Akremi & Ming Jia, 2023. "Quantitative Research on Corporate Social Responsibility: A Quest for Relevance and Rigor in a Quickly Evolving, Turbulent World," Journal of Business Ethics, Springer, vol. 187(1), pages 1-15, September.
  37. Bhattacharya, Indranil & Mickovic, Ana, 2024. "Accounting fraud detection using contextual language learning," International Journal of Accounting Information Systems, Elsevier, vol. 53(C).
  38. Su, Huishui & Jiang, I-Ming & Liu, Duan, 2025. "Detecting financial fraud risk using machine learning: Evidence based on different categories and matching samples," Finance Research Letters, Elsevier, vol. 85(PA).
  39. Fengler, Matthias & Phan, Minh Tri, 2023. "A Topic Model for 10-K Management Disclosures," Economics Working Paper Series 2307, University of St. Gallen, School of Economics and Political Science.
  40. Chen, Cathy Yi-Hsuan & Fengler, Matthias R. & Härdle, Wolfgang Karl & Liu, Yanchu, 2022. "Media-expressed tone, option characteristics, and stock return predictability," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
  41. So-Jin Yu & Jin-Sung Rha, 2021. "Research Trends in Accounting Fraud Using Network Analysis," Sustainability, MDPI, vol. 13(10), pages 1-26, May.
  42. 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.
  43. Düsterhöft, Maximilian & Schiemann, Frank & Walther, Thomas, 2023. "Let’s talk about risk! Stock market effects of risk disclosure for European energy utilities," Energy Economics, Elsevier, vol. 125(C).
  44. Yunchuan Sun & Xiaoping Zeng & Ying Xu & Hong Yue & Xipu Yu, 2024. "An intelligent detecting model for financial frauds in Chinese A‐share market," Economics and Politics, Wiley Blackwell, vol. 36(2), pages 1110-1136, July.
  45. Bidisha Chakrabarty & Pamela C. Moulton & Leonid Pugachev & Xu (Frank) Wang, 2025. "Catch me if you can: In search of accuracy, scope, and ease of fraud prediction," Review of Accounting Studies, Springer, vol. 30(2), pages 1268-1308, June.
  46. Chiji Longinus Ezeji & Dominique Emmanuel Uwizeyimana, 2025. "Evaluation of generative artificial intelligence (GENAI) as a transformative technology for effective and efficient governance, political knowledge, electoral, and democratic processes," International Journal of Business Ecosystem & Strategy (2687-2293), Bussecon International Academy, vol. 7(3), pages 241-254, June.
  47. Lukui Huang & Alan Abrahams & Peter Ractham, 2022. "Enhanced financial fraud detection using cost‐sensitive cascade forest with missing value imputation," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 29(3), pages 133-155, July.
  48. Evangelos Liaras & Michail Nerantzidis & Antonios Alexandridis, 2024. "Machine learning in accounting and finance research: a literature review," Review of Quantitative Finance and Accounting, Springer, vol. 63(4), pages 1431-1471, November.
  49. Daria Trachova & Tetiana Davydiuk & Olena Demchuk, 2023. "Prospects for the use of artificial intelligence in financial accounting," Management and Business Articles, Management and Business, vol. 1(2), pages 171-191, November.
  50. 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).
  51. Michail Gkegkas & Dimitrios Kydros & Michail Pazarskis, 2025. "Using Data Analytics in Financial Statement Fraud Detection and Prevention: A Systematic Review of Methods, Challenges, and Future Directions," JRFM, MDPI, vol. 18(11), pages 1-22, October.
  52. Gopal V. Krishnan & Emma‐Riikka Myllymäki & Neerav Nagar, 2021. "Does financial reporting quality vary across firm life cycle?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 48(5-6), pages 954-987, May.
  53. Chiji Longinus Ezeji, 2024. "Artificial Intelligence for detecting and preventing procurement fraud," International Journal of Business Ecosystem & Strategy (2687-2293), Bussecon International Academy, vol. 6(1), pages 63-73, January.
  54. Grommes, Alexander, 2025. "Impact of audit assurance on the quality of sustainability reporting," Junior Management Science (JUMS), Junior Management Science e. V., vol. 10(1), pages 201-235.
  55. Zhang, Chanyuan (Abigail) & Cho, Soohyun & Vasarhelyi, Miklos, 2022. "Explainable Artificial Intelligence (XAI) in auditing," International Journal of Accounting Information Systems, Elsevier, vol. 46(C).
  56. Cansu Isler, 2025. "Words Matter: Forecasting Economic Downside Risks with Corporate Textual Data," Papers 2511.04935, arXiv.org.
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