The Effect of Fraud Pentagon on Fraudulent Financial Reporting

Provide an optimal audit model to reduce fraudulent financial reporting

Fraud in financial reporting and accounting has grown significantly in recent years due to the financial crises created in companies, so that fraud has become a political and economic issue and today the legislature, the accounting profession and the causes The creation of fraud in it as well as the ways to deal with fraudulent behavior in financial statements have received special attention. T...

Financial Reporting Fraud Detection: An Analysis of Data Mining Algorithms

In the last decade, high profile financial frauds committed by large companies in both developed and developing countries were discovered and reported. This study compares the performance of five popular statistical and machine learning models in detecting financial statement fraud. The research objects are companies which experienced both fraudulent and non-fraudulent financial statements betw...

The Spillover Effect of Fraudulent Financial Reporting on Peer Firms’ Investments

The Role of Imputation in Detecting Fraudulent Financial Reporting

Financial fraud detection plays a crucial role in the stability of institutions and the economy at large. Data mining methods have been used to detect/flag cases of fraud due to a large amount of data and possible concept drift. In the financial statement fraud detection domain, instances containing missing values are usually discarded from experiments and this may lead to a loss of crucial inf...

The Ranking of Fraudulent Financial Reporting By Using Data Envelopment Analysis: Case of Pharmaceutical Listed Companies

Fraudulent financial reporting has been one of the most sensitive issues on the business world. Financial statements that conceal the company's facts have caused great losses to its stakeholders. The ranking of companies based on fraudulent financial reporting is one of the key issues for performance analysis. This study, by using financial variables and the data envelopment analysis methodolog...