This study develops a bootstrap procedure applied to digital analysis based on Benford’s Law. It shows that the developed procedure provides accurate diagnoses of fraud as opposed to traditional statistical procedures. The traditional procedures such as the chi-square goodness-of-fit test exhibit the problem of excessive power as the volume of transactions becomes large. This problem may lead auditors to expend unnecessary fraud investigation costs. In contrast, applications of the proposed bootstrap procedure to reported annual earnings of S&P 1500 companies, Federal Election Commission data, and extremely fraudulent data demonstrate the robustness of the proposed procedure over different periods of time and across small or large financial...
Corporate scandals and failures due to fraud have resulted in significant financial losses to share...
n forensic accounting, use of Benford's law has long been acknowledged as a technique for identifyin...
Analytic procedures allow auditors (or forensic accountants) to identify the presence of unexpected ...
This study develops a bootstrap procedure applied to digital analysis based on Benford’s Law. It sho...
Many fraud detection problems involve large numbers of financial transactions such as those associat...
Previous studies in auditing have proposed statistical analytic techniques to determine the presence...
Benford’s law has been used by auditors to help reveal data manipulation not only in the context of ...
Large enterprises frequently enforce accounting limits to reduce the impact of fraud. As a complemen...
Abstract Large enterprises frequently enforce accounting limits to reduce the im-pact of fraud. As a...
Auditors are using the predictability of digit occurrence in recorded amounts as a tool to detect su...
Despite has many critical as much as defenders, Benford’s Law has been used many different ways in a...
An important neef of corporations for internal audits is the ability to detect fraudulently reported...
Benford Analysis is a statistical method used for detecting financial fraud. It compares the distrib...
Benford's law defines a probability distribution for patterns of significant digits in real numbers....
Benford’s law has been used by auditors to help reveal data manipulation not only in the context of ...
Corporate scandals and failures due to fraud have resulted in significant financial losses to share...
n forensic accounting, use of Benford's law has long been acknowledged as a technique for identifyin...
Analytic procedures allow auditors (or forensic accountants) to identify the presence of unexpected ...
This study develops a bootstrap procedure applied to digital analysis based on Benford’s Law. It sho...
Many fraud detection problems involve large numbers of financial transactions such as those associat...
Previous studies in auditing have proposed statistical analytic techniques to determine the presence...
Benford’s law has been used by auditors to help reveal data manipulation not only in the context of ...
Large enterprises frequently enforce accounting limits to reduce the impact of fraud. As a complemen...
Abstract Large enterprises frequently enforce accounting limits to reduce the im-pact of fraud. As a...
Auditors are using the predictability of digit occurrence in recorded amounts as a tool to detect su...
Despite has many critical as much as defenders, Benford’s Law has been used many different ways in a...
An important neef of corporations for internal audits is the ability to detect fraudulently reported...
Benford Analysis is a statistical method used for detecting financial fraud. It compares the distrib...
Benford's law defines a probability distribution for patterns of significant digits in real numbers....
Benford’s law has been used by auditors to help reveal data manipulation not only in the context of ...
Corporate scandals and failures due to fraud have resulted in significant financial losses to share...
n forensic accounting, use of Benford's law has long been acknowledged as a technique for identifyin...
Analytic procedures allow auditors (or forensic accountants) to identify the presence of unexpected ...