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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Cuong Nguyen Thanh & Tam Phan Huy, 2024. "Classification for Dividend Payout in Vietnam Stock Exchange Market: A Comparative Review of Machine Learning Algorithms," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., vol. 15(02), pages 1-25, June.
    • Handle: RePEc:wsi:jicepx:v:15:y:2024:i:02:n:s1793993324500091
    DOI: 10.1142/S1793993324500091
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