| Referências: |
BIBLIOGRAFIA BÁSICA:
Adams, R., Ragunathan, V., & Tumarkin, R. (2021). Death by committee? An analysis of corporate board (sub-) committees. Journal of Financial Economics, 141(3), 1119-1146, https://doi.org/10.1016/j.jfineco.2021.05.032
Bochkay, K., Brown, S.V., Leone, A.J. and Tucker, J.W. (2023). Textual Analysis in Accounting: What's Next?. Contemporary Accounting Research, 40, 765-805. https://doi.org/10.1111/1911-3846.12825
DeMiguel, V., Gil-Bazo, J., Nogales, F., Santos, A. (2023). Machine learning and fund characteristics help to select mutual funds with positive alpha. Journal of Financial Economics, 150(3). https://doi.org/10.1016/j.jfineco.2023.103737
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Koratamaddi, P., Wadhwani, K., Gupta, G., & Sanjeevi, S. (2021). Market sentiment-aware deep reinforcement learning approach for stock portfolio allocation. Engineering Science and Technology, an International Journal, 24(4), 848-859. https://doi.org/10.1016/j.jestch.2021.01.007
Liaras, E., Nerantzidis, M. & Alexandridis, A. (2024). Machine learning in accounting and finance research: a literature review. Review of Quantitative Finance and Accounting. https://doi.org/10.1007/s11156-024-01306-z
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Sutton, R., & Barto, A. (2020). Reinforcement Learning: an introduction. Versão digital da segunda edição disponível em: http://incompleteideas.net/book/RLbook2020.pdf
Thewissen, J., Shrestha, P., Torsin , W., & Pastwa, A. (2022). Unpacking the black box of ICO white papers: A topic modeling approach. Journal of Corporate Finance, 75. https://doi.org/10.1016/j.jcorpfin.2022.102225
BIBLIOGRAFIA COMPLEMENTAR:
Adams, R., Ragunathan, V., & Tumarkin, R. (2021). Death by committee? An analysis of corporate board (sub-) committees. Journal of Financial Economics, 141(3), 1119-1146, https://doi.org/10.1016/j.jfineco.2021.05.032
Amani, F., & Fadlalla, A. (2017). Data mining applications in accounting: A review of the literature and organizing framework. International Journal of Accounting Information Systems, 24, 32-58. https://doi.org/10.1016/j.accinf.2016.12.004
Farzamfar, A., Foroughi, P., Bahar, H., & Ng, L. (2024). Illuminating the murk: The effect of business complexity on voluntary disclosure. Journal of Corporate Finance, 87, https://doi.org/10.1016/j.jcorpfin.2024.102612
Gosselin, A.-M., Le Maux, J. and Smaili, N. (2021), Readability of Accounting Disclosures: A Comprehensive Review and Research Agenda. Accounting Perspectives, 20: 543-581. https://doi.org/10.1111/1911-3838.12275
Petridis, K, Tampakoudis, I., Drogalas, G., & Kiosses, N. (2022). A Support Vector Machine model for classification of efficiency: An application to M&A. Research in International Business and Finance, 61. https://doi.org/10.1016/j.ribaf.2022.101633. |
