Article|OPEN ACCESS

Research on the Process and Countermeasures of the Financial Fraud Case at Tianjin Zeda Yisheng Company

DOWNLOAD PDF

Xinyuan Zhao

Anhui Xinhua University, Hefei Anhui, China

Abstract

With the vigorous development of China 's economy, more and more enterprises have emerged in China 's economic market. However, in the development of these enterprises, the problem of financial fraud has occurred from time to time. This problem not only damages the interests of investors and causes them to suffer heavy losses, but also brings the risk of bankruptcy to listed companies themselves and causes serious damage to the securities market. Seriously disrupt social order. This paper first analyzes the motivation, means, identification and prevention countermeasures of financial fraud by combing domestic and foreign literature. Then it defines the definition and characteristics of financial fraud, briefly explains the common means of financial fraud and further discusses the relevant theories. By examining the financial fraud case of Zeida Yisheng, this paper analyzes in detail the fraud methods adopted by the company, including inflating income and profits, concealing transactions and exaggerating projects under construction, and makes an in-depth analysis of the negative impact of these measures on the enterprise. At the end of the article, from the perspective of the government, the company, investors and industry-related personnel, the prevention methods for financial fraud of listed companies in China are proposed. In order to reduce the financial fraud of listed companies, a case study of financial fraud by Zeda Yisheng is carried out to maintain the healthy and stable situation of China 's capital market.

Keywords

  • Zeda Yisheng
  • Financial fraud
  • Impact of financial fraud

Preview

References

  1. Khalafi S ,Bagherpanah S .Intelligent Detection and Prevention of Financial Fraud Using Fingerprints: An AI and Machine Learning-Based Approach[J].International Journal of Business and Management,2026,21(2):80-80.
  2. Maina W C ,Bashokoh I M ,Györke K D .A Bibliometric Analysis of Digital Financial Literacy and Its Role in Reducing Online Financial Fraud in the European Union[J].International Journal of Financial Studies,2026,14(1):18-18.
  3. Liu M .Analysis of Financial Fraud and Governance in Guangyuyuan[J].Asia Pacific Economic and Management Review,2025,2(6):
  4. Li W ,Liu X ,Li Z , et al.A Decoupling-Fusion System for Financial Fraud Detection: Operationalizing Causal–Temporal Asynchrony in Multimodal Data[J].Systems,2025,14(1):25-25.
  5. Olaniyan J ,Olaniyan D ,Obagbuwa C I , et al.Graph-Temporal Contrastive Transformer for Financial Fraud Detection Using Transaction Behavior Modeling[J].Algorithms,2025,18(12):770-770.