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2 Annals of Computer Science and Information Systems

2 2021

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Data Mining for Bankruptcy Prediction: An Experiment in Vietnam

100%

Hung D. N. , Binh V. T. T.

Annals of Computer Science and Information Systems

2021

tom Vol. 28

175--184

In the history of the world economy, the bankruptcy of some large companies has caused global financial crises. The study aimed to postulate a model of bankruptcy prediction for listed companies on Vietnam's stock market. The research used six popular algorithms in data mining to predict bankruptcy risk with data collected from 4693 observations in the period 2009-2020. The research results showed that Logistic algorithms, Artificial Neural Network, Decision Tree have a high level of predicting bankruptcy with an accuracy of 98%. The study identified the three most important indicators: inventory turnover ratio, debt to equity ratio, and debt ratio that affect the corporate bankruptcy prediction. The study showed the threshold points of 10-indicators to avoid bankruptcy likelihood. These results recommended that the model could be applied in practice to reduce risks for businesses and investors in the Vietnamese market.

The impact of CG on the earnings quality of enterprises listed on the stock market in Vietnam

80%

Van V. T. T. , Hung D. N. , Thuy D. T. T.

Annals of Computer Science and Information Systems

2021

tom Vol. 28

327--331

The paper examines the influence of corporate governance (CG) on the earnings quality (EQ) of listed companies in Vietnam. We consider the issue of CG integrated from each component of the board and the supervisory board using the GLS regression. The data are collected at energy enterprises listed on the Vietnam stock market in 2010 - 2018, with 2162 observations. The research results have found that the board positively impacts the EQ, while the supervisory board does not affect the earnings quality. Besides the audit quality, the ratio of liabilities positively affects the EQ; in contrast to the percentage of state ownership, the company's size has an opposite effect. In addition, foreign ownership ratio, profitability do not affect the EQ. The empirical research results are a valuable basis to help companies improve the EQ, thereby helping companies consider the elements of the board and supervisory more effectively for each company.