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Machine learning improves accounting estimates: evidence from insurance payments

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Cited by:

  1. Liu, Wanli, 2024. "Digital transformation and earnings opacity:Evidence from China," Finance Research Letters, Elsevier, vol. 69(PA).
  2. Iwona Posadzińska & Małgorzata Grzeszczak, 2022. "Management Accounting System in the Management of an Intelligent Energy Sector Enterprise," Energies, MDPI, vol. 15(20), pages 1-17, October.
  3. Md Jahidur Rahman & Hongtao Zhu, 2023. "Predicting accounting fraud using imbalanced ensemble learning classifiers – evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(3), pages 3455-3486, September.
  4. 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.
  5. Diego Valentinetti & Michele A. Reaa, 2023. "Intelligenza artificiale e accounting: le possibili relazioni," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2023(2), pages 93-116.
  6. Luigi Rombi, 2024. "Handbook of accounting, accountability and governance edited by Garry D. Carnegie and Christopher J. Napier," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 28(3), pages 943-955, September.
  7. Li Wang & Hongyu Yang, 2024. "Digital technology innovation and corporate ESG performance: evidence from China," Economic Change and Restructuring, Springer, vol. 57(6), pages 1-32, December.
  8. Benjamin P. Commerford & Sean A. Dennis & Jennifer R. Joe & Jenny W. Ulla, 2022. "Man Versus Machine: Complex Estimates and Auditor Reliance on Artificial Intelligence," Journal of Accounting Research, Wiley Blackwell, vol. 60(1), pages 171-201, March.
  9. Downen, Tom & Kim, Sarah & Lee, Lorraine, 2024. "Algorithm aversion, emotions, and investor reaction: Does disclosing the use of AI influence investment decisions?," International Journal of Accounting Information Systems, Elsevier, vol. 52(C).
  10. Zhang, Chanyuan (Abigail) & Cho, Soohyun & Vasarhelyi, Miklos, 2022. "Explainable Artificial Intelligence (XAI) in auditing," International Journal of Accounting Information Systems, Elsevier, vol. 46(C).
  11. Hanyao Gao & Gang Kou & Haiming Liang & Hengjie Zhang & Xiangrui Chao & Cong-Cong Li & Yucheng Dong, 2024. "Machine learning in business and finance: a literature review and research opportunities," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-35, December.
  12. 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.
  13. Thorsten Sellhorn, 2020. "Machine Learning und empirische Rechnungslegungsforschung: Einige Erkenntnisse und offene Fragen [Machine Learning and Empirical Accounting Research: Some Findings and Open Questions]," Schmalenbach Journal of Business Research, Springer, vol. 72(1), pages 49-69, March.
  14. Viorel-Costin Banța & Sînziana-Maria Rîndașu & Anca Tănasie & Dorian Cojocaru, 2022. "Artificial Intelligence in the Accounting of International Busi-nesses: A Perception-Based Approach," Sustainability, MDPI, vol. 14(11), pages 1-12, May.
  15. 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.
  16. Ajitha Kumari Vijayappan Nair Biju & Ann Susan Thomas & J Thasneem, 2024. "Examining the research taxonomy of artificial intelligence, deep learning & machine learning in the financial sphere—a bibliometric analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(1), pages 849-878, February.
  17. Réka Melinda TÖRÖK, 2024. "An Exploratory Analysis Of Accounting Estimates Disclosure Practices. The Case Of Romanian Private Listed Companies," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 33(1), pages 362-369, July.
  18. Booker, Adam & Chiu, Victoria & Groff, Nathan & Richardson, Vernon J., 2024. "AIS research opportunities utilizing Machine Learning: From a Meta-Theory of accounting literature," International Journal of Accounting Information Systems, Elsevier, vol. 52(C).
  19. Kelton, Andrea Seaton & Murthy, Uday S., 2023. "Reimagining design science and behavioral science AIS research through a business activity lens," International Journal of Accounting Information Systems, Elsevier, vol. 50(C).
  20. Ruyi Tao & Kaiwei Liu & Xu Jing & Jiang Zhang, 2024. "Predicting Company Growth by Econophysics informed Machine Learning," Papers 2410.17587, arXiv.org.
  21. Zhang, Chao & Zhu, Weidong & Dai, Jun & Wu, Yong & Chen, Xulong, 2023. "Ethical impact of artificial intelligence in managerial accounting," International Journal of Accounting Information Systems, Elsevier, vol. 49(C).
  22. Ngai, Eric W.T. & Wu, Yuanyuan, 2022. "Machine learning in marketing: A literature review, conceptual framework, and research agenda," Journal of Business Research, Elsevier, vol. 145(C), pages 35-48.
  23. Evaggelia Siopi & Thomas Poufinas & James Ming Chen & Charalampos Agiropoulos, 2023. "Can Regulation Affect the Solvency of Insurers? New Evidence from European Insurers," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 29(1), pages 15-30, May.
  24. Cassandra Estep & Emily E. Griffith & Nikki L. MacKenzie, 2024. "How do financial executives respond to the use of artificial intelligence in financial reporting and auditing?," Review of Accounting Studies, Springer, vol. 29(3), pages 2798-2831, September.
  25. Xi Chen & Yang Ha (Tony) Cho & Yiwei Dou & Baruch Lev, 2022. "Predicting Future Earnings Changes Using Machine Learning and Detailed Financial Data," Journal of Accounting Research, Wiley Blackwell, vol. 60(2), pages 467-515, May.
  26. Yixuan Peng & Sayed Fayaz Ahmad & Ahmad Y. A. Bani Ahmad & Mustafa S. Al Shaikh & Mohammad Khalaf Daoud & Fuad Mohammed Hussein Alhamdi, 2023. "Riding the Waves of Artificial Intelligence in Advancing Accounting and Its Implications for Sustainable Development Goals," Sustainability, MDPI, vol. 15(19), pages 1-12, September.
  27. Jaewon Park & Minsoo Shin, 2022. "An Approach for Variable Selection and Prediction Model for Estimating the Risk-Based Capital (RBC) Based on Machine Learning Algorithms," Risks, MDPI, vol. 10(1), pages 1-20, January.
  28. Gina Raluca Guse & Marian Dragos Mangiuc, 2022. "Digital Transformation in Romanian Accounting Practice and Education: Impact and Perspectives," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 24(59), pages 252-252.
  29. Mika Ylinen & Mikko Ranta, 2024. "Employer ratings in social media and firm performance: Evidence from an explainable machine learning approach," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(1), pages 247-276, March.
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