Role of Comprehensive Income in Predicting Bankruptcy
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Economics, Econometrics and Finance (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s10614-022-10328-5.pdf
Reference50 articles.
1. Altman, E. I. (1968). Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. The Journal of Finance, 23(4), 589–609. https://doi.org/10.2307/2978933.
2. Anderson, J., Cao, Y., Riedl, E. J., & Song, S. X. (2022). Other comprehensive income, its components, and analysts’ forecasts. Review of Accounting Studies. https://doi.org/10.1007/s11142-021-09656-y.
3. Antunes, F., Ribeiro, B., & Pereira, F. (2017). Probabilistic modeling and visualization for bankruptcy prediction. Applied Soft Computing, 60, 831–843. https://doi.org/10.1016/j.asoc.2017.06.043.
4. Ashraf, S., Félix, E. G. S., & Serrasqueiro, Z. (2019). Do traditional financial distress prediction models predict the early warning signs of financial distress? Journal of Risk and Financial Management, 12(2), 55. https://doi.org/10.3390/jrfm12020055.
5. Barboza, F., Kimura, H., & Altman, E. (2017). Machine learning models and bankruptcy prediction. Expert Systems with Applications, 83, 405–417. https://doi.org/10.1016/j.eswa.2017.04.006.
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