Forecasting the Dividend Policy Using Machine Learning Approach: Decision Tree Regression Models-Reference-Cited by-同舟云学术

Forecasting the Dividend Policy Using Machine Learning Approach: Decision Tree Regression Models

Published:2021 Issue: Volume: Page:19-39
ISSN:2364-5067
Container-title:Eurasian Studies in Business and Economics
language:
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Author:

Yaseen Hanaan,Dragotă Victor

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-71869-5_2

Reference74 articles.

1. Abdou, A. H., Pointon, J., El-Masry, A., Olugbode, M., & Lister, R. J. (2012). A variable impact neural network analysis of dividend policies and share prices of transportation and related companies. Journal of International Financial Markets, Institutions and Money, 22, 796–813.

2. Aivazian, V., Booth, L., & Cleary, L. S. (2003). Do emerging market firms follow different dividend policies from U.S. firms? The Journal of Financial Research, 26, 371–387.

3. Anandarajan, M., Lee, P., & Anandarajan, A. (2001). Bankruptcy prediction of financially stressed firms: An examination of the predictive accuracy of artificially neural networks. International Journal of Intelligent Systems in Accounting, Finance and Management, 10(2), 69–81.

4. Andres, C., Betzer, A., Goergen, M., & Renneboog, L. (2009). Dividend policy of German firms: A panel data analysis of partial adjustment models. Journal of Empirical Finance, 16(2), 175–187.

5. Banyi, M. L., & Kahle, K. M. (2014). Declining propensity to pay? A re-examination of the Lifecycle Theory. Journal of Corporate Finance, 27, 345–366.

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