Shohreh Yazdani
Assistant Professor of Accounting, Department of Accounting, Damavand branch, Islamic Azad University, Damavand, Iran (Corresponding Author)
[ 1 ] - 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...
[ 2 ] - Political Connection and Earnings Management Methods: Evidence from Tehran Stock Exchange
Governments have always affected the economic environment as a policy maker. On the other hand, the presence of political connection as representatives of governments in companies affects their administrative and decision - making methods.Firms and managers manage them under environmental conditions by applying different approaches to earning management in order to achieve their goals.The gover...
[ 3 ] - Presenting a Model for Financial Reporting Fraud Detection using Genetic Algorithm
both academic and auditing firms have been searching for ways to detect corporate fraud. The main objective of this study was to present a model to detect financial reporting fraud by companies listed on Tehran Stock Exchange (TSE) using genetic algorithm. For this purpose, consistent with theoretical foundations, 21 variables were selected to predict fraud in financial reporting that finally, ...
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