Among the growing number of Chinese companies that went public overseas, many have been detected and alleged as conducting financial fraud by market research firms or U.S. Securities and Exchange Commission (SEC). Then investors lost money and even confidence to all overseas-listed Chinese companies. Likewise, these companies suffered serious stock sank or were even delisted from the stock exch...

While there is a growing professional interest on the application of Benford’s law and “digit analysis” in financial fraud detection, there has been relatively little academic research to demonstrate its efficacy as a decision support tool in the context of an analytical review procedure pertaining to a financial audit. We conduct a numerical study using a genetically optimized artificial neura...

With the ageing of the population, and increasing demand for individuals to be financially literate and self-sufficient, older Australians may find themselves at greater risk of fraud. Although the proportion of the elderly experiencing fraud is lower than for those aged less than 65 years, this is the crime they are most likely to experience and the effects can be devastating as the elderly ar...

Data mining techniques are providing great aid in financial accounting fraud detection, since dealing with the large data volumes and complexities of financial data are big challenges for forensic accounting. The implementation of data mining techniques for fraud detection follows the traditional information flow of data mining, which begins with feature selection followed by representation, da...

A Multi-Agent System Based Approach to Fight Financial Fraud: An Application to Money Laundering Claudio Alexandre 1,∗ ID and João Balsa 1 1 Faculdade de Ciências da Universidade de Lisboa (BioISI-MAS), Campo Grande, 1749-016, Lisboa, Portugal * Author to whom correspondence should be addressed. Academic Editor: name Version December 19, 2017 submitted to Appl. Sci. Abstract: The anti-money lau...

This paper reports the results of a study that was conducted to investigate the performance of senior-level business students as it pertains to recog­ nizing certain clues or risk factors that are frequently associated with the misappropriation of entity assets. Based on three of the risk factors iden­ tified in SAS No. 82, an experiment was used to examine differences in performance based on a...

Purpose This paper aims to explain the fundraising and valuation processes of startups discuss conflicts interest between entrepreneurs, venture capital (VC) firms stakeholders in context startup corporate governance. Further, this uses examples WeWork Zenefits how a failure demand an external audit from independent accounting firm early stages funding led opportunity for fraud. Design/methodol...

In this paper we consider the application of a naïve Bayes model for the evaluation of fraud risk connected with government agencies. This model applies probabilistic classifiers to support a generic risk assessment model, allowing for more efficient and effective use of resources for fraud detection in government transactions, and assisting audit agencies in transitioning from reactive to proa...

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-...

A case study on the theoretical and practical value of using process mining for the detection of fraudulent behavior in the procurement process Abstract This thesis presents the results of a six month research period on process mining and fraud detection. This thesis aimed to answer the research question as to how process mining can be utilized in fraud detection and what the benefits of using ...