Classification for Dividend Payout in Vietnam Stock Exchange Market: A Comparative Review of Machine Learning Algorithms

Cuong Nguyen Thanh and Tam Phan Huy
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Cuong Nguyen Thanh: Faculty of Accounting and Finance, Nha Trang University, Vietnam
Tam Phan Huy: ��University of Economics and Law, Ho Chi Minh City, Vietnam and Vietnam National University, Ho Chi Minh City, Vietnam

Journal of International Commerce, Economics and Policy (JICEP), 2024, vol. 15, issue 02, 1-25

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.

Keywords: Dividend payout; machine learning; Vietnam (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S1793993324500091

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