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Accounting Variables, Deception, and a Bag of Words: Assessing the Tools of Fraud Detection

Citations

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Cited by:

  1. Yasheng Chen & Zhuojun Wu, 2022. "Financial Fraud Detection of Listed Companies in China: A Machine Learning Approach," Sustainability, MDPI, vol. 15(1), pages 1-15, December.
  2. Jiao Ji & Oleksandr Talavera & Shuxing Yin, 2018. "The Hidden Information Content: Evidence from the Tone of Independent Director Reports," Working Papers 2018-28, Swansea University, School of Management.
  3. Dan Amiram & Zahn Bozanic & James D. Cox & Quentin Dupont & Jonathan M. Karpoff & Richard Sloan, 2018. "Financial reporting fraud and other forms of misconduct: a multidisciplinary review of the literature," Review of Accounting Studies, Springer, vol. 23(2), pages 732-783, June.
  4. Yubin Qian & Ya Sun, 2022. "Bibliometric analysis of literature on narrative discourse in corporate annual reports (1990–2019)," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(2), pages 429-446, April.
  5. Zita Drábková, 2018. "Fraud Risk Management from the Perspective of CFEBT Risk Triangle of Accounting Errors and Frauds," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 66(5), pages 1261-1266.
  6. Adrian Gepp & Kuldeep Kumar & Sukanto Bhattacharya, 2021. "Lifting the numbers game: identifying key input variables and a best‐performing model to detect financial statement fraud," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(3), pages 4601-4638, September.
  7. Hills, Robert & Kubic, Matthew & Mayew, William J., 2021. "State sponsors of terrorism disclosure and SEC financial reporting oversight," Journal of Accounting and Economics, Elsevier, vol. 72(1).
  8. Jie He & Kam C. Chan, 2023. "Does short sales deregulation affect qualitative information disclosure?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(S1), pages 1351-1380, April.
  9. 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.
  10. 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.
  11. Muhammad Farhan Malik & Yuan George Shan & Jamie Yixing Tong, 2022. "Do auditors price litigious tone?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(S1), pages 1715-1760, April.
  12. Ionela Munteanu, 2020. "Financial Reporting Quality and Operational Efficiency in the Coastal Region of Romania," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 978-984, December.
  13. Dennis W. Campbell & Ruidi Shang, 2022. "Tone at the Bottom: Measuring Corporate Misconduct Risk from the Text of Employee Reviews," Management Science, INFORMS, vol. 68(9), pages 7034-7053, September.
  14. Abdullah Albizri & Deniz Appelbaum & Nicholas Rizzotto, 2019. "Evaluation of financial statements fraud detection research: a multi-disciplinary analysis," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 16(4), pages 206-241, December.
  15. 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.
  16. Nerissa C. Brown & Richard M. Crowley & W. Brooke Elliott, 2020. "What Are You Saying? Using topic to Detect Financial Misreporting," Journal of Accounting Research, Wiley Blackwell, vol. 58(1), pages 237-291, March.
  17. Jun Qi & Qinwei Chi & Ni Yang & Junyan Ouyang, 2023. "The Impact of the Tone of a Prospectus on IPO Underpricing: Evidence from China," Australian Accounting Review, CPA Australia, vol. 33(4), pages 375-390, December.
  18. Lee, Heejae & Zhang, Lu & Liu, Qi & Vasarhelyi, Miklos, 2022. "Text Visual Analysis in Auditing: Data Analytics for Journal Entries Testing," International Journal of Accounting Information Systems, Elsevier, vol. 46(C).
  19. Yupeng Cao & Zhi Chen & Qingyun Pei & Nathan Jinseok Lee & K. P. Subbalakshmi & Papa Momar Ndiaye, 2024. "ECC Analyzer: Extract Trading Signal from Earnings Conference Calls using Large Language Model for Stock Performance Prediction," Papers 2404.18470, arXiv.org, revised Aug 2024.
  20. 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).
  21. Shi Qiu & Yuansheng Luo & Hongwei Guo, 2021. "Multisource evidence theory‐based fraud risk assessment of China's listed companies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1524-1539, December.
  22. Kerstin Lopatta & Mario Albert Gloger & Reemda Jaeschke, 2017. "Can Language Predict Bankruptcy? The Explanatory Power of Tone in 10‐K Filings," Accounting Perspectives, John Wiley & Sons, vol. 16(4), pages 315-343, December.
  23. 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.
  24. Zhang, Yi & Hu, Ailing & Wang, Jiahua & Zhang, Yaojie, 2022. "Detection of fraud statement based on word vector: Evidence from financial companies in China," Finance Research Letters, Elsevier, vol. 46(PB).
  25. 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.
  26. Borchert, Philipp & Coussement, Kristof & De Weerdt, Jochen & De Caigny, Arno, 2024. "Industry-sensitive language modeling for business," European Journal of Operational Research, Elsevier, vol. 315(2), pages 691-702.
  27. Joanna Wyrobek & Lukasz Poplawski & Marcin Surowka, 2020. "Identification of a Fraudulent Organizational Culture in Enterprises Listed in Warsaw Stock Exchange," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 622-637.
  28. Hope, Ole-Kristian & Wang, Jingjing, 2018. "Management deception, big-bath accounting, and information asymmetry: Evidence from linguistic analysis," Accounting, Organizations and Society, Elsevier, vol. 70(C), pages 33-51.
  29. Elshandidy, Tamer & Kamel, Hany, 2024. "Tone of narrative disclosures and earnings management: UK evidence," Advances in accounting, Elsevier, vol. 64(C).
  30. Andrei Filip & Gerald J. Lobo & Luc Paugam & Hervé Stolowy, 2022. "Disclosures About Key Value Drivers in M&A Announcement Press Releases: An Exploratory Study," Abacus, Accounting Foundation, University of Sydney, vol. 58(1), pages 62-104, March.
  31. Berkin, Anil & Aerts, Walter & Van Caneghem, Tom, 2023. "Feasibility analysis of machine learning for performance-related attributional statements," International Journal of Accounting Information Systems, Elsevier, vol. 48(C).
  32. Elias Zavitsanos & Dimitris Mavroeidis & Konstantinos Bougiatiotis & Eirini Spyropoulou & Lefteris Loukas & Georgios Paliouras, 2023. "Financial misstatement detection: a realistic evaluation," Papers 2305.17457, arXiv.org.
  33. 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).
  34. Salim Chahine & Yiwei Fang & Iftekhar Hasan & Mohamad Mazboudi, 2021. "CEO Network Centrality and the Likelihood of Financial Reporting Fraud," Abacus, Accounting Foundation, University of Sydney, vol. 57(4), pages 654-678, December.
  35. Craja, Patricia & Kim, Alisa & Lessmann, Stefan, 2020. "Deep Learning application for fraud detection in financial statements," IRTG 1792 Discussion Papers 2020-007, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
  36. Tim Loughran & Bill Mcdonald, 2016. "Textual Analysis in Accounting and Finance: A Survey," Journal of Accounting Research, Wiley Blackwell, vol. 54(4), pages 1187-1230, September.
  37. Rahman, Md Jahidur & Zhu, Hongtao, 2024. "Detecting accounting fraud in family firms: Evidence from machine learning approaches," Advances in accounting, Elsevier, vol. 64(C).
  38. Novita Novita & Anara Indrany Nanda Ayu Anissa, 2022. "The role of data analytics for detecting indications of fraud in the public sector," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 11(7), pages 218-225, October.
  39. Fahd Alduais & Nashat Ali Almasria & Abeer Samara & Ali Masadeh, 2022. "Conciseness, Financial Disclosure, and Market Reaction: A Textual Analysis of Annual Reports in Listed Chinese Companies," IJFS, MDPI, vol. 10(4), pages 1-22, November.
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