HIGHLIGHTS
SUMMARY
Improvements in technology and computer science have spread implementations to a wider audience, spurring the growth of research in machine_learning. Financial market prediction research is done by applying several machine_learning algorithms, including gradient boosting, support vector machine, and random forest to predict price, profitability, direction and volatility of securities, stocks and commodities indicators (Henrique et_al, 2019). Research on evaluating stock returns of Vietnamese firms using machine_learning algorithms, together with accounting information, has not been studied yet. To determine the association, the authors use and compare machine_learning models to each other to answer the questions . . .
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