---
title: Dividend Payout Classification Vietnam Market
url: https://www.ml-quant.com/papers/repec/wsi-jicepx-v-15-y-2024-i-02-n-s1793993324500091/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:wsi:jicepx:v:15:y:2024:i:02:n:s1793993324500091
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.worldscientific.com%2Fdoi%2Fabs%2F10.1142%2FS1793993324500091%3Bh%3Drepec%3Awsi%3Ajicepx%3Av%3A15%3Ay%3A2024%3Ai%3A02%3An%3As1793993324500091
featured: 2024-06-12
citations: unknown
topic: Corporate Finance
---


# Dividend Payout Classification Vietnam Market

The Random Forest algorithm is the best machine learning model for predicting dividend payouts in the Vietnamese stock market, enhancing market transparency.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.worldscientific.com%2Fdoi%2Fabs%2F10.1142%2FS1793993324500091%3Bh%3Drepec%3Awsi%3Ajicepx%3Av%3A15%3Ay%3A2024%3Ai%3A02%3An%3As1793993324500091
- Identifier: RePEc:wsi:jicepx:v:15:y:2024:i:02:n:s1793993324500091
- Released: 2024-06-12
- First featured: Quant Letter No. 53 (2024-06-12): https://www.ml-quant.com/issues/2024-06-12/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Corporate Finance

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