Finance and Accounting Monthly pp. 45-48.
ISSN/ISBN: Not available at this time. DOI: 10.19641/j.cnki.42-1290/f.2012.06.013
Note - this is a foreign language paper: CHI
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Abstract: Benford’s law describes the distribution probability of the data whose first digit is from 1 to 9 in a series of data. According to this law, the distribution probability of significant figures of statistical data conforms to the logarithmic law, and man-made fraudulent activities will destroy this law. This paper applies this principle to the audit work, studies this kind of fraud detection method based on the digital distribution law, and provides a special analysis tool. This paper makes a statistical analysis of the financial data of listed companies in China over the past 11 years, and compares them with the standard value of Benford's law to test its applicability to listed companies in China, and verifies the effectiveness of using Benford's law to identify corporate fraud. A new method to find signs of corporate fraud based on Benford's law is proposed, and further suggestions are made for its use in actual work.
Bibtex:
@article {,
AUTHOR = {Chen Xi and Wan Yufei and Li Lu},
TITLE = {The Applicability of Finding Corporate Fraud Based on Benford's Law——An Empirical Test on the Financial Data of my country's Listed Companies},
JOURNAL = {Finance and Accounting Monthly},
YEAR = {2012},
VOLUME = {45--48},
NUMBER = {},
PAGES = {},
DOI = {10.19641/j.cnki.42-1290/f.2012.06.013},
URL = {},
}
Reference Type: Journal Article
Subject Area(s): Not specified