Open Access
Issue
SHS Web Conf.
Volume 218, 2025
2025 2nd International Conference on Development of Digital Economy (ICDDE 2025)
Article Number 02022
Number of page(s) 8
Section Finance Tech Advances: Impacts and Innovations
DOI https://doi.org/10.1051/shsconf/202521802022
Published online 03 July 2025
  1. E.A. Feigenbaum, P. McCorduck. The Fifth Generation: Artificial Intelligence and Japan’s Computer Challenge to the World. Addison-Wesley (1983) [Google Scholar]
  2. D. Silver, A. Huang, C.J. Maddison, A. Guez, L. Sifre, G. van den Driessche, J. Schrittwieser, I. Antonoglou, V. Panneershelvam, M. Lanctot, S. Dieleman, D. Grewe, J. Nham, N. Kalchbrenner, I. Sutskever, T. Lillicrap, M. Leach, K. Kavukcuoglu, T. Graepel, D. Hassabis. Mastering the game of Go with deep neural networks and tree search. Nature. 529, 484-489 (2016) [CrossRef] [Google Scholar]
  3. X. Yang, D. Liu, Y. Wang, J. Chen, Q. Li, F. Wang, Y. Yu, T. Liu, L. Wang, C. Xu. Qlib: An AI-oriented Quantitative Investment Platform. ACM SIGKDD (2021) [Google Scholar]
  4. E.F. Fama, K.R. French. Common risk factors in the returns on stocks and bonds. J. Financ. Econ. 33, 3-56 (1993) [CrossRef] [Google Scholar]
  5. S. Gu, B. Kelly, D. Xiu. Empirical asset pricing via machine learning. Rev. Financ. Stud. 33, 2223-2273 (2020) [CrossRef] [Google Scholar]
  6. H. Buehler, L. Gonon, J. Teichmann, B. Wood. Deep hedging: Learning to simulate equity option markets. J. Financ. Econ. 139, 837-861 (2021) [Google Scholar]
  7. S. Feuerriegel, N. Proellochs, G. Weiss, M. Kraft, D. Neumann. Satellite imagery for financial prediction. J. Financ. Econ. 145, 531-549 (2022) [Google Scholar]
  8. Y. Yang, M.C.S. Uy, A. Huang. FinBERT: A pretrained language model for financial communications. Manage. Sci. 68, 4809-4827 (2022) [Google Scholar]
  9. T. Loughran, B. McDonald. Textual analysis in finance: A survey. J. Account. Res. 58, 192-239 (2020) [Google Scholar]
  10. J. Guo, Y. Liu, C.W. Oosterlee, S. Bohte, M. Holters. Multimodal learning for market prediction. J. Financ. Data Sci. 4, 45-63 (2023) [Google Scholar]
  11. H. Zou, T. Hastie. Regularization and variable selection via the elastic net. J. R. Stat. Soc. B67, 301-320 (2005) [CrossRef] [Google Scholar]
  12. S. Mullainathan, J. Spiess. Machine learning: An applied econometric approach. J. Econ. Perspect. 31, 87-106 (2017) [CrossRef] [Google Scholar]
  13. D. Dupont, M. Gordon, D. Hendry, S. Johansen, R. Trent. Machine learning in the wild: Performance fluctuations. Rev. Financ. Stud. 34, 4567-4612 (2021) [Google Scholar]
  14. M. Rosenbaum, A.J. Rodríguez, M.J. Tsatsomeros. Quantum algorithms for option pricing. Quant. Finance 23, 1-15 (2023) [Google Scholar]
  15. J. Zhu, H. Wang, C. Li, Q. Zhang, L. Wu. Federated learning for financial risk prediction. J. Financ. Innov. 9, 45-62 (2024) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.