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On the risk prediction and analysis of soft information in finance reports

Citations

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Cited by:

  1. 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).
  2. Chao, Xiangrui & Ran, Qin & Chen, Jia & Li, Tie & Qian, Qian & Ergu, Daji, 2022. "Regulatory technology (Reg-Tech) in financial stability supervision: Taxonomy, key methods, applications and future directions," International Review of Financial Analysis, Elsevier, vol. 80(C).
  3. Kriebel, Johannes & Stitz, Lennart, 2022. "Credit default prediction from user-generated text in peer-to-peer lending using deep learning," European Journal of Operational Research, Elsevier, vol. 302(1), pages 309-323.
  4. Lorenzo Reus & Guillermo Alexander Sepúlveda-Hurtado, 2023. "Foreign exchange trading and management with the stochastic dual dynamic programming method," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-38, December.
  5. Tsan-Ming Choi, 2025. "Achieving economic sustainability: operations research for risk analysis and optimization problems in the blockchain era," Annals of Operations Research, Springer, vol. 349(2), pages 1151-1176, June.
  6. Fabozzi, Frank J. & Recchioni, Maria Cristina & Renò, Roberto, 2025. "Fifty years at the interface between financial modeling and operations research," European Journal of Operational Research, Elsevier, vol. 327(1), pages 1-21.
  7. 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.
  8. Michael J Bommarito II & Daniel Martin Katz, 2016. "Measuring the temperature and diversity of the U.S. regulatory ecosystem," Papers 1612.09244, arXiv.org, revised Jan 2017.
  9. Jiang, Cuiqing & Yin, Chang & Tang, Qian & Wang, Zhao, 2023. "The value of official website information in the credit risk evaluation of SMEs," Journal of Business Research, Elsevier, vol. 169(C).
  10. Schwab, Brandon & Kriebel, Johannes, 2026. "Mitigating adversarial attacks on transformer models in credit scoring," European Journal of Operational Research, Elsevier, vol. 328(1), pages 309-323.
  11. Jiang, Cuiqing & Lyu, Ximei & Yuan, Yufei & Wang, Zhao & Ding, Yong, 2022. "Mining semantic features in current reports for financial distress prediction: Empirical evidence from unlisted public firms in China," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1086-1099.
  12. Qianling Wang & Zhigang Chen & Li Gui, 2025. "The analysis of multidimensional poverty reduction effects of dual financial participation: evidence from rural household in China," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-19, December.
  13. Aparna Gupta & Vipula Rawte & Mohammed J. Zaki, 2024. "Predicting Firm Financial Performance from SEC Filing Changes Using Automatically Generated Dictionary," Computational Economics, Springer;Society for Computational Economics, vol. 64(1), pages 307-334, July.
  14. Dong, Dayong & Yue, Sishi & Cao, Jiawei, 2020. "Site visit information content and return predictability: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
  15. Luo, Rui & Liu, Jinpei & Chen, Peipei & Luo, Jian, 2025. "Enhancing carbon price robust forecasting: A text-driven method utilizing weighted interval-joint quadratic support vector regression," Energy Economics, Elsevier, vol. 148(C).
  16. Minh Phan & Arno de Caigny & Kristof Coussement, 2023. "A decision support framework to incorporate textual data for early student dropout prediction in higher education," Post-Print hal-04274684, HAL.
  17. Dejian Yu & Bo Xiang, 2025. "Customized integrated decision model for CBEC enterprise credit evaluation: The fusion of multi-source features and machine learning," Electronic Markets, Springer;IIM University of St. Gallen, vol. 35(1), pages 1-19, December.
  18. Marui Du & Yue Ma & Zuoquan Zhang, 2021. "A Meta Path Based Evaluation Method for Enterprise Credit Risk," Papers 2110.11594, arXiv.org, revised May 2022.
  19. Feuerriegel, Stefan & Gordon, Julius, 2019. "News-based forecasts of macroeconomic indicators: A semantic path model for interpretable predictions," European Journal of Operational Research, Elsevier, vol. 272(1), pages 162-175.
  20. Wang, Weiqing & Chen, Yuxi & Wang, Liukai & Xiong, Yu, 2025. "Developing the value of legal judgments of supply chain finance for credit risk prediction through novel ACWGAN-GPSA approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 196(C).
  21. Zhang, Chaowei & Gupta, Ashish & Kauten, Christian & Deokar, Amit V. & Qin, Xiao, 2019. "Detecting fake news for reducing misinformation risks using analytics approaches," European Journal of Operational Research, Elsevier, vol. 279(3), pages 1036-1052.
  22. Stevenson, Matthew & Mues, Christophe & Bravo, Cristián, 2021. "The value of text for small business default prediction: A Deep Learning approach," European Journal of Operational Research, Elsevier, vol. 295(2), pages 758-771.
  23. 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.
  24. Gao, Renzhi & Yao, Xiaoyu & Wang, Zhao & Abedin, Mohammad Zoynul, 2024. "Sentiment classification of time-sync comments: A semi-supervised hierarchical deep learning method," European Journal of Operational Research, Elsevier, vol. 314(3), pages 1159-1173.
  25. 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.
  26. Emile du Plessis, 2025. "Can Text-Based Statistical Models Reveal Impending Banking Crises?," Computational Economics, Springer;Society for Computational Economics, vol. 65(3), pages 1265-1298, March.
  27. Wang, Chao & Zhang, Yue & Zhang, Weiguo & Gong, Xue, 2021. "Textual sentiment of comments and collapse of P2P platforms: Evidence from China's P2P market," Research in International Business and Finance, Elsevier, vol. 58(C).
  28. 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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