Cressey’s [1] fraud triangle examined the motivation for crime. McMahon et al. [2] suggest there is a need to move beyond the traditional fraud triangle to fight white-collar crime. In this article, we suggest a white-crime triangle which includes financial motive, organizational opportunity and deviant behavior. The suggested white-collar crime triangle is based on convenience theory [3], wher...

During the last several years machine learning started to revolutionize many industrial fields by replacing human intellectual work with recent technologies. Machine learning has started to be used in financial sphere as well for predicting stock prices, detecting fraud actions etc. In this work, we are focusing on financial market risk classification, which is a part of fraud action detection ...

Due to today’s advancement in technology and businesses, fraud detection has become a critical component of financial transactions. Considering vast amounts of data in large datasets, it becomes more difficult to detect fraud transactions manually. In this research, we propose a combined method using both data mining and statistical tasks, utilizing feature selection, resampling and cost-...

We investigate the relation between board composition and operational risk events of financial institutions in the period from 1996 to 2010. Drawing from corporate governance literature, we consider the impact of board characteristics on the likelihood of operational risk events. Overall, our findings suggest that board size is negatively and non-linearly associated with the possibility of oper...

This paper investigates the variation in contagion effect of corporate scandals on peers firms with different corporate governance quality. We find that better corporate governance reduces investors’ uncertainty about a firm’s fundamental value and alleviates the contagion effect of scandals. Specifically, the empirical results show that external governance, ownership structure and external aud...

The problems of bankruptcy prediction and fraud detection have been extensively considered in the financial literature. The objective of this work is twofold. Firstly, we investigate the efficiency of multi-instance learning in bankruptcy prediction. For this reason, a number of experiments have been conducted using representative learning algorithms, which were trained using a data set of 150 ...

Managerial financial fraud is estimated in the billions of dollars annually in the United States. Since fraud includes obfuscation, misdirection, and fabrication, this study proposes using deception theory as a means of detecting fraud in textual portions of financial statements (10K). A corpus of 101 fraudulent 10Ks was collected from the Securities and Exchange Commission along with 101 match...