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  • 标题:Impact of earnings management on bankruptcy prediction
  • 本地全文:下载
  • 作者:Maria Kovacova ; Martin Lacny ; Jaroslav Gonos
  • 期刊名称:SHS Web of Conferences
  • 印刷版ISSN:2416-5182
  • 电子版ISSN:2261-2424
  • 出版年度:2021
  • 卷号:129
  • 页码:1-7
  • DOI:10.1051/shsconf/202112903016
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:Research Managers of the companies intentionally manipulate business earnings to achieve the required status of the company. Earnings management is a legal and widely preferred phenomenon of business finance that financial managers use to maintain and improve the company´s competitiveness. The consequence of these activities is to provide a positive view for the owners, encourage the profitability for the creditor and the investors as well as demonstrate economic strengths to competitors. Consequently, these activities lead to the modification of financial statements of the companies, which have a direct impact on the prediction ability of bankruptcy models.Purpose of the article: The main goal of the paper is to point out the impact of earnings management in the companies on the possibility and ability of bankruptcy prediction. There is a correlation between application of earnings management in companies followed by changes in financial statements of the companies. Therefore, the ability of bankruptcy prediction models to predict possible financial problems of the company is questionable.
  • 关键词:earnings management;bankruptcy prediction;financial health;prediction models
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