Abstract

The main objective of this research is to investigate the Predictability of Financial Statements Fraud-Risk Using Benford’s Law on the Tehran Stock Exchange. Therefore, based on financial fraud detection criteria, a sample of 50 companies was extracted that 25 companies had fraud-risk in financial statements (experimental group) and 25 did not have fraud-risk (control group). Next, the frequency distribution of the first left digit of the numbers in the financial statements as well as the financial ratios of both groups was extracted, and their conformity with Benford’s distribution was evaluated through the chi-square test to test the research hypotheses. The comparison between the mentioned frequency distribution and Benford’s distribution showed a significant difference. The result indicates that Benford’s law cannot predict the financial statements fraud-risk of companies, in other words, Benford’s law cannot separate companies with fraud-risk from those without fraud-risk in financial statements.

摘要

这项研究的主要目的是使用德黑兰证券交易所的本福德定律研究财务报表欺诈风险的可预测性。因此，根据财务欺诈检测标准，抽取了50家公司的样本，其中25家公司在财务报表中存在欺诈风险（实验组），而25家没有欺诈风险（对照组）。接下来，提取财务报表中数字左第一位的频率分布以及两组的财务比率，并通过卡方检验评估它们与本福德分布的一致性，以检验研究假设。提到的频率分布和本福德分布之间的比较显示出显着差异。