This study examines the influence and importance of firm characteristics on the quality of financial statements of listed companies in Vietnam’s stock market from the audit point of view. We use regression models and machine learning algorithms to investigate data from 2225 observations of listed companies in the period 2014–2020. We find that business profitability, business size, and the size of the Board of Directors positively correlate with the quality of financial statements. In contrast, dividend policy, state ownership, and enterprise listing time have a negative relationship. Results show that the most critical factors affecting financial statement quality include profitability, profit after tax on total assets, state ownership, and enterprise size. This finding has practical implications for market participants and policymakers in improving financial reporting transparency and quality.

The high-quality of financial reporting provides suitable information for economic decision-making of the country whilst, the low quality of financial reporting causes a serious impact on the economy. This research aims to classify financial reporting quality (FRQ) as well as determines the drivers of FRQ. This study uses a panel dataset from 2014 to 2020 that is collected from the Vietnamese listed companies. The study applies machine learning algorithms to classify and assess FRQ of non-financial companies on the Vietnamese stock exchange. New contribution considers the FRQ, on the auditor's opinion and the variance between pre-audit and post-audit profit. This research classifies FRQ into normal and poor categories, and a rate of 9.35% in the sample is considered poor FRQ. This research shows that the return on assets’ ratio and the ownership concentration have the most important influence on FRQ. Furthermore, the results which are predicting FRQ by using the random forest algorithm have an accuracy rate of 94%. This study is valuable for the forecast of FRQ and for the support of stakeholders in decision-making. With the high accuracy of machine learning techniques and its usage, it can help analysts and investors in generating reliable accounting information for decision-making purposes. Corporate sector needs to pay attention towards financial ratios and reinforcement of corporate governance.

The article examines the impact of cash flow on the need to increase funding in the Covid pandemic context and the financial constraints of listed companies in Vietnam. We build hypotheses b ased on the self-ranking match theory framework and research overview. We use data from 5894 observations for 2010-2020 and the general regression model - GLS to test the expected hypotheses. The research results show that cash flow significantly influences the external financing needs of the business. In pa

This paper examines the impact of earnings quality (EQ) on the Vietnam companies’ cost of debt (COD). We use data from companies listed on the Vietnam stock market from 2010 to 2019. In this paper, we develop a model to investigate the influence of audit quality and foreign ownership on COD. We find that EQ had a negative relationship with COD. However, when firm is in financial distressed, EQ has a positive relationship with COD. As an intermediate variable, EQ also has a negative relationship with COD.