A wide range of parties involved in evaluating economic performance, including investors, auditors, interest groups, bankers, government organizations, academics, and analysts, can benefit greatly from the immediate detection of fraudulent financial reports. This research presents a novel...

We propose a novel discretionary accruals (DA) measure in the unexplored dimension of non-current accruals. We show that our measure (DA-NC) can improve the forecasting performance of fraud prediction models that rely on conventional current accruals-based DA measures. Analysing accounting...

We provide a lower-bound estimate of the undetected share of corporate fraud. To identify the hidden part of the "iceberg," we exploit Arthur Andersen's demise, which triggered added scrutiny on Arthur Andersen's former clients and thereby increased the detection likelihood of preexisting...

The purpose of this study was to examine the potential for fraudulent financial reporting using the fraud hexagon theory factors such as stimulus (financial target, financial stability, and external pressure), capability (change in director), collusion (total board of commissioners who have...

In the modern era like today where technological developments are becoming more rapid, many people have used technology in their daily activities. Etymologically, technology comes from the word technologia (Greek), "techno", which means expertise and "logia", which means knowledge. While in...

Considerable effort has been devoted to the development of software to support the detection of fraud in published financial statements of companies. Until the present date, however, the applied use of such research has been extremely limited due to the ``black box'' character of the existing...

In this Teaching Note, the authors conclude their series in the study of the common law causes of action that were available to a plaintiff in cases of misrepresentation and fraud. In Part I of this article, Civil Fraud, the authors describe the prima facie elements of proof, as well as the...

In this paper, we study the impact of environmental, social and governance (ESG) ratings on the likelihood of subsequent corporate scandals. We find that the ‘S’ score (social responsibility) has a predictive power on scandals, while the overall ESG ratings has not. This finding holds for...

Fraud Detection is of great importance to financial institutions. In this paper we have tried to study the Outlier Analysis in Stock Market Fraud Detection. Outlier Analysis is a fundamental issue in Data Mining, specifically in Fraud Detection. While observing the Indian Stock Market, we could...