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- Title
Classification for Dividend Payout in Vietnam Stock Exchange Market: A Comparative Review of Machine Learning Algorithms.
- Authors
Thanh, Cuong Nguyen; Huy, Tam Phan
- Abstract
This study explores the application of machine learning models to predict dividend payouts for publicly listed companies in the Vietnamese stock market. The authors compared various machine learning algorithms to identify the most suitable one for this task. Based on our evaluation, the test shows that the Random Forest algorithm outperformed other methods in terms of accuracy, F1 score, and time efficiency. Furthermore, we analyzed the feature's importance to understand the key factors driving dividend payouts. The results can help investors, managers, and government agencies make informed decisions and improve financial market transparency. The study also highlights the potential of using machine learning algorithms to automate and enhance the credit rating process, leading to more accurate and real-time assessments of business creditworthiness in Vietnam.
- Subjects
VIETNAM; MACHINE learning; FOREIGN exchange market; RANDOM forest algorithms; DIVIDENDS; DIVIDEND policy; INVESTORS
- Publication
Journal of International Commerce, Economics & Policy, 2024, Vol 15, Issue 2, p1
- ISSN
1793-9933
- Publication type
Article
- DOI
10.1142/S1793993324500091