Fraud Risk in Digitized Fintech Ecosystem: Troubling Trends, Issues and Approaches to Mitigate Risk

2020 ◽  
Author(s):  
Krishnan Srinivasan Chari
Keyword(s):  
2016 ◽  
Vol 30 (3) ◽  
pp. 379-392 ◽  
Author(s):  
Jared Eutsler ◽  
Erin Burrell Nickell ◽  
Sean W. G. Robb

SYNOPSIS Prior research indicates that issuing a going concern opinion to financially stressed clients generally reduces the risk of litigation against the auditor following a bankruptcy (Kaplan and Williams 2013; Carcello and Palmrose 1994). However, we propose that a going concern report may indicate prior knowledge of financial distress, an important fraud risk factor, and this may have repercussions for the auditor if a fraud is subsequently uncovered. Consistent with counterfactual reasoning theory, experimental research suggests that a documented awareness of fraud risk actually increases the likelihood of litigation against the auditor following a fraud (Reffett 2010). This concern has been echoed by the professional community (AICPA 2004; Golden, Skalak, and Clayton 2006) and may be exacerbated by the current outcome-based regulatory environment (Peecher, Solomon, and Trotman 2013). To examine this issue we review Auditing and Accounting Enforcement Releases (AAERs) issued by the Securities and Exchange Commission (SEC) for alleged financial reporting frauds between 1995 and 2012. Results suggest that going concern report modifications accompanying the last set of fraudulently stated financials are associated with a greater likelihood of enforcement action against the auditor. This finding is consistent with counterfactual reasoning theory and suggests that, from a regulatory perspective, auditors may be penalized for documenting their awareness of fraud risk when financial statements are later determined to be fraudulent.


2001 ◽  
Vol 20 (2) ◽  
pp. 85-99 ◽  
Author(s):  
Philip R. Beaulieu

Client integrity concerns auditors when they plan new audit engagements because it is related to both fraud risk and the source credibility of clients. Auditors may increase audit work and fees when they judge integrity to be below normal. In an experiment, a sample of 63 Canadian audit partners read information about a prospective audit client, including information about the client's CFO. This information was manipulated to support a judgment of either high or low integrity. As hypothesized, judgments of client integrity were negatively related to risk judgments, audit evidence extent recommendations (indirectly through risk judgments), and fee recommendations (indirectly through risk judgments and extent recommendations).


2020 ◽  
Author(s):  
Benjamin W Hoffman ◽  
John L. Campbell ◽  
Jason L. Smith

We investigate the stock market's reaction to events leading up to the Securities and Exchange Commission's (SEC) and Public Company Accounting Oversight Board's (PCAOB) 2007 regulatory changes that reduced the scope of and documentation requirements for assessments of firms' internal controls over financial reporting (ICFR), as required by Section 404 of the Sarbanes-Oxley Act. The stated goal of these regulations was to reduce firms' and auditors' compliance costs with mandatory ICFR assessments, while maintaining the effectiveness of these assessments. We examine abnormal returns surrounding key dates leading to the passage of these regulations and offer two main findings. First, investors reacted negatively on key event dates, suggesting that investors viewed the regulations as likely to reduce financial reporting quality rather than to drive firm and audit efficiencies. Second, this negative market reaction is larger when ICFR effectiveness should matter most - when firms are more complex, have higher litigation risk, and greater fraud risk. In additional analysis, we find that restatements increase in the post-regulation time period, consistent with investors' concerns that the effect of the legislation would be a reduction in ICFR effectiveness. Overall, our results may imply that investors prefer stronger government regulation when it comes to the assessments of a firm's internal controls over financial reporting.


2014 ◽  
Vol 9 (9) ◽  
Author(s):  
Oluwatoyin Muse Johnson Popoola ◽  
Ayoib Che Ahmad ◽  
Rose Shamsiah Samsudin

2018 ◽  
Vol 25 (4) ◽  
pp. 1062-1076 ◽  
Author(s):  
Rebecca Nicolaides ◽  
Richard Trafford ◽  
Russell Craig

Purpose This paper reviews an array of psycholinguistic techniques that auditors can deploy to explore written and oral language for signs of deception. The review is drawn upon to propose some elements of a forward research agenda. Design/methodology/approach Relevant literature across several disciplines is identified through keyword searches of major bibliographic databases. Findings The techniques highlighted have considerable potential for use by auditors to identify audit contexts which merit closer audit investigation. However, the techniques need further contextual empirical investigation in audit contexts. Seven specific propositions are presented for empirical testing. Originality/value This paper assembles literature on deceptive communication from a wide range of disciplines and relates it to the audit context. Auditors’ attention is directed to potential linguistic signals of fraud risk, and opportunities for future research are suggested. The paper is consciousness-raising, has pedagogic purpose and suggests critical elements for a future research agenda.


2019 ◽  
Vol 34 (3) ◽  
pp. 324-337 ◽  
Author(s):  
Jiali Tang ◽  
Khondkar E. Karim

PurposeThis paper aims to discuss the application of Big Data analytics to the brainstorming session in the current auditing standards.Design/methodology/approachThe authors review the literature related to fraud, brainstorming sessions and Big Data, and propose a model that auditors can follow during the brainstorming sessions by applying Big Data analytics at different steps.FindingsThe existing audit practice aimed at identifying the fraud risk factors needs enhancement, due to the inefficient use of unstructured data. The brainstorming session provides a useful setting for such concern as it draws on collective wisdom and encourages idea generation. The integration of Big Data analytics into brainstorming can broaden the information size, strengthen the results from analytical procedures and facilitate auditors’ communication. In the model proposed, an audit team can use Big Data tools at every step of the brainstorming process, including initial data collection, data integration, fraud indicator identification, group meetings, conclusions and documentation.Originality/valueThe proposed model can both address the current issues contained in brainstorming (e.g. low-quality discussions and production blocking) and improve the overall effectiveness of fraud detection.


2016 ◽  
Vol 9 (29) ◽  
Author(s):  
Sergey Valentinovich Arzhenovskiy ◽  
Andrey Vladimirovich Bakhteev
Keyword(s):  

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