Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/294313 
Erscheinungsjahr: 
2023
Quellenangabe: 
[Journal:] Cogent Business & Management [ISSN:] 2331-1975 [Volume:] 10 [Issue:] 1 [Article No.:] 2184225 [Year:] 2023 [Pages:] 1-25
Verlag: 
Taylor & Francis, Abingdon
Zusammenfassung: 
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.
Schlagwörter: 
machine learning
audit opinion
profit spread
Quality of financial statements
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