Year: 2004
Type: report
Abstract: The purpose of this study is to identify those approaches and techniques from the literature which auditors could usefully employ to detect fraudulently complied financial statements. The classification which results includes a brief analysis of a number of studies classified within the following categories: prediction models, expert systems, neural networks, Benford’s law, computer technology assistance, simple analytical procedure, ‘red flag’ grouping and broad strategies. We conclude on how this analysis could be useful to future researchers and to auditors in the field who are seeking to improve their approach to detecting material fraud in the financial statements.
Institution: University of Waikato
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2151502719