Detecting financial statements fraud: Evidence from listed companies in China

Financial statement fraud is the deliberate misrepresentation of a company’s financial statements. Financial statement fraud has been a global concern since it not only harms the investors and creditors but also undermine the public confidence of the capital market. Based on the fact that a common incentive for companies to manipulate financial statement is a decline in the company’s financial prospects, this paper applies the mixture hazard early warning model to identify the key impacting financial characteristics in detecting the financial statement fraud for listed companies in China. We find that in the construction industry the warning sign of suspcious business practices is a falling return on assets, while in the real estate industry the financial red flag is an increase in the inventory level. The estimation results indicate that the financial characteristics may have different implications in different industries in detecting financial statement fraud. This research has shed light on setting specific financial characteristics for fraud monitoring and detecting by the regulators.

Authors

Publication Details

Journal
Sustainable Economies
Published
2024-11-04
DOI
https://doi.org/10.62617/se.v2i4.301
Citations
3
Primary Topic
Auditing, Earnings Management, Governance
Type
article
Field-Weighted Citation Impact
2.84
Controls
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article

Detecting financial statements fraud: Evidence from listed companies in China

Gexia Qiao, Yanmei Duan
3 citations
Sustainable Economies
Auditing, Earnings Management, Governance
2.84
article

Detecting financial statements fraud: Evidence from listed companies in China

Gexia Qiao, Yanmei Duan
article en
3 citations

Abstract

Financial statement fraud is the deliberate misrepresentation of a company’s financial statements. Financial statement fraud has been a global concern since it not only harms the investors and creditors but also undermine the public confidence of the capital market. Based on the fact that a common incentive for companies to manipulate financial statement is a decline in the company’s financial prospects, this paper applies the mixture hazard early warning model to identify the key impacting financial characteristics in detecting the financial statement fraud for listed companies in China. We find that in the construction industry the warning sign of suspcious business practices is a falling return on assets, while in the real estate industry the financial red flag is an increase in the inventory level. The estimation results indicate that the financial characteristics may have different implications in different industries in detecting financial statement fraud. This research has shed light on setting specific financial characteristics for fraud monitoring and detecting by the regulators.

Sustainable EconomiesVol. 2(4)
Openalex Percentile: Top 8%
Auditing, Earnings Management, Governance
2.84
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Detecting financial statements fraud: Evidence from listed companies in China — Gexia Qiao, Yanmei Duan · Sustainable Economies (2024) | TGRS Research Map | TGRS