Journal of Financial CrimeRepousis, S. (2013). Using Beneish model to detect corporate financial statement fraud in Greece. Journal of Financial Crime, 31(6/7), 748-767. https://doi.org/http://dx.doi.org/10.1108/MRR-09- 2015-0216...
Beneish also determined that if the calculation of the Model is greater than a negative (−) 2.22, the calculation suggests a higher probability of financial statement manipulation. To understand exactly which numbers are greater than a −2.22 requires ... Get Using Analytics to Detect Possible...
The paper proposes a trained anti-money laundering model to identify discrepancies in cryptocurrency transactions, helping institutions prevent financial crimes.
The structure we have developed is expected to reduce the problems related to the accuracy of shared news, prevent unsubstantiated comments and edits on news, track and detect manipulative news, decipher malicious users, and thus facilitate the assumption of responsibility for shared news. Since the...
In most of the companies it could be the case that “internal auditors, financial managers, accountants, treasurers, and other professionals” are not properly trained to detect the presence of financial fraud. 3. We Have Very Little Fraud Here The reality is that in most of the cases, “...
ability to improve security and prevent fraud across many sectors, including finance. Prior studies have shed limited light on how superannuation fraud can be prevented. Moreover, there is limited literature on the possibility of utilizing blockchain technology to address this issue. Therefore, this ...
PwC’s financial crimes solutions are organized to effectively and efficiently help our clients combat and prevent financial crimes. Learn more Related technology Ready Assess Stay informed and act faster with a data-driven platform that streamlines risk assessments, making them visual, interactive, ...
Fraud in corporations is a topic that receives significant and growing attention from regulators, auditors, and the public. Increasingly external auditors are being asked to play an important role in helping organizations prevent and detect fraud. Detecting fraud is not an easy task and requires thor...
Machine learn- ing can be used to focus on the detection of online fraud and suspicious transactions, and thus can be applied in the banking industry to detect and prevent risk [6]. Although these methods have solved the problem of gambling and fraudulent account identification to a certain ...
This model can detect bot activity in the network data flow and recognize its behavior. Nevertheless, it fails to analyze the correlation between activities in the bot group. On the other hand, bot activity can construct a group based on similarity (Hostiadi et al., 2020) or causality ...