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Accounting-based financial scandals caused by fraudulent financial reports negatively affect the financial markets and cause loss of confidence in investors. Financial reporting quality needs to be improved in order to build and maintain trust in financial markets. To increase the quality of financial reports, fraudulent financial reporting risks should be defined. At this point, regulators, practitioners, and researchers are in constant search.

There are improved approaches to the detection of financial reporting frauds in the literature. Many studies have been conducted on the “Fraud Triangle Theory” and the “Fraud Diamond Theory” approaches. The Fraud Triangle Theory argues that while fraudulent action is taking place in defining the elements of press, rationalization, and opportunity, the Fraud Diamond Theory approach argues that in order to achieve these three elements, the capability to carry out a fraud in individuals must be improved.

In this study, it is aimed to investigate the effect of Fraud Diamond elements on fraudulent financial reports. For the scope of the research, data of 26 companies from Manufacturing Industry enterprises operating in BORSA ISTANBUL between 2013 and 2017 were used. Financial reports of the companies are divided into two groups: (1) Fraudulent Financial Reports and (2) Non-Fraud Financial Reports. The hypotheses developed within the scope of the research were tested using the Logistic Regression analysis in IBM SPSS Statistic 20 program.

As a result of the study, it has been determined that there is a negative correlation between borrowing level, asset profitability, independent audit firm, auditor exchanges and institutionalization level, and fraudulent financial reports. It was understood that the change in assets and the size of the audit committee did not have any effect on the fraudulent financial reports.

This paper aims to explore the effectiveness of an artificial neural network (ANN) in predicting fraudulent financial reporting in small market capitalization companies in Malaysia.

Based on the concepts of ANN, a mathematical model was developed to compare non-fraud and fraud companies selected from among small market capitalization companies in Malaysia; the fraud companies had already been charged by the Securities Commission for falsification of financial statements. Ten financial ratios are used as fraud risk indicators to predict fraudulent financial reporting using ANN.

The findings indicate that the proposed ANN methodology outperforms other statistical techniques widely used for predicting fraudulent financial reporting.

The study is one of few to adopt the ANN approach for the prediction of financial reporting fraud.

This study aims to trace the impact of corporate governance and its mechanisms in preventing companies from turning to fraudulent financial reporting.

For this purpose, using the systematic elimination pattern, the information of 187 listed companies on the Tehran Stock Exchange over six years from 2013 to 2019 were collected, and the hypotheses were examined using a linear regression model. To measure fraudulent financial reporting, the adjusted model of Beneish (1999) was used to evaluate corporate governance. Its mechanisms based on nine corporate governance mechanisms, including board independence, board remuneration, CEO financial expertise, expertise in CEO industry, board financial expertise, board industry expertise, board effort, CEO duality and managerial ownership, have been examined. These mechanisms are calculated as a combined index of corporate governance.

The findings indicate that robust corporate governance significantly reduces companies’ intention toward fraudulent financial reporting. In the same way, a negative and significant relationship was observed between each of the nine corporate governance mechanisms, except for board compensation and fraudulent financial reporting.

This study’s findings provide valuable insight into the importance of strengthening companies to prevent companies’ managers from engaging in fraudulent financial reporting activities. Hence, it is suggested that professional references bodies more seriously follow the rules to dictate to companies for using and empowering their corporate governance.

The purpose of this paper is to review, critique, and integrate certain trends, events, and research streams involving earnings management, fraudulent financial reporting, corporate governance and ethics.

The paper provides a brief history of relevant events and trends in financial reporting for the period 1987‐2007. Within this historical context, financial reporting and earnings quality are discussed from the academic and practitioner points of view. The influence of corporate governance and the role of ethics and behavior are introduced as part of an integrated discussion of academic and practitioner viewpoints of earnings management and fraudulent financial reporting. The last section of the paper provides final observations and recommendations for future research.

The paper concludes that academic research in earnings management and fraudulent financial reporting has become increasingly narrow in addressing important issues and problems in practice.

The paper is limited in its depth of analysis in each individual research stream due to the breadth of research and time period that are addressed. The implications for future research are enhanced by the integration of several streams of research relevant to earnings management and fraudulent financial reporting.

The paper may be useful to regulators and policy makers to better understand the significance and relevance of academic research.

The paper introduces and integrates ethics and behavior as important aspects for understanding earnings management and fraudulent financial reporting.

In an effort to restore investor confidence in the wake of recent financial reporting scandals, the Sarbanes‐Oxley Act of 2002 mandates that audit committees be fully independent and have at least one financial expert. The SEC adopted rules implementing these Sarbanes‐Oxley provisions. This paper contributes to the literature on the association between audit committee characteristics recommended by SOX and the likelihood of fraud in two ways. First, we focus on audit committee composition and the extent of the underlying nature of the firm (e.g., firm size, growth) and the contracting environment (e.g., managerial ownership, leverage) of the firm on the likelihood of fraud. In particular, we find that the likelihood of fraudulent financial reporting is negatively related to audit committee independence, number of audit committee meetings and managerial ownership and positively related to firm size and firm growth opportunities. Second, we separately examine firms with totally independent audit committees and fraudulent financial reporting. This sample is interesting because these are firms that had good corporate governance and yet still had fraudulent financial reporting. By separately examining firms with totally independent audit committees, we find that the likelihood of fraudulent financial reporting given a totally independent audit committee is inversely related to the level of managerial ownership and the number of audit committee meetings.

This paper investigates the relationship between risk management practices and potential fraudulent financial reporting in Malaysia by considering recent regulatory reforms of the Malaysian government on risk management practices.

The sample of this study was based on 257 firm-year observations during the 2012–2017 period. This study employed panel-least square regressions with period fixed effects.

This study found a significant association between risk management activities in the disclosure and potential fraudulent financial reporting. Nevertheless, this study found there is insignificant effect of the risk-management committee in reducing potential of fraudulent financial reporting.

This study is a pioneer research that relates firms’ risk management practices with potential fraudulent financial reporting measured by F-score. Thus, this study provides an insight to regulators on the extent of risk-management practices in deterring potential fraudulent financial reporting which can be used as an input for greater enforcement of risk-management regulations.

This paper examines the role of professional associations, governmental agencies, and international accounting and auditing bodies in promulgating standards to deter and detect fraud, domestically and abroad. Specifically, it focuses on the role played by the US Securities and Exchange Commission (SEC), the American Institute of Certified Public Accountants (AICPA), the Institute of Internal Auditors (IIA), the Institute of Management Accountants (IMA), the Association of Certified Fraud Examiners (ACFE), the US Government Accounting Office (GAO), and other national and foreign professional associations, in promulgating auditing standards and procedures to prevent fraud in financial statements and other white‐collar crimes. It also examines several fraud cases and the impact of management and employee fraud on the various business sectors such as insurance, banking, health care, and manufacturing, as well as the role of management, the boards of directors, the audit committees, auditors, and fraud examiners and their liability in the fraud prevention and investigation.

The purpose is to explore the differences and similarities between fraudulent financial reporting detection and business failure prediction (BFP) models, especially in terms of which explanatory variables and methodologies are most effective.

In total, 52 financial variables were identified from previous studies as potentially significant. A number of Taiwanese firms experienced financial distress or were accused of fraudulent reporting in 2005. Data on these firms and their contemporaries were obtained from the Taiwan Economic Journal data bank and Taiwan Stock Exchange Corporation. Financial variables were calculated for the years 2003 and 2004. Three well‐known data mining algorithms were applied to build detection/prediction models for this sample: logistic regression, neural networks, and classification trees.

Many of the variables are effective at both detecting fraudulent financial reporting and predicting business failures. In terms of overall accuracy, logistic regression outperforms the other two algorithms for detecting fraudulent financial reporting. Whether logistic regression or a decision tree is best for BFP depends on the relative opportunity cost of misclassifying failing and healthy firms.

The financial factors used to detect fraudulent reporting are helpful for predicting business failure.

Explores the impact that recent fraudulent financial reporting has had on the capital markets. Attempts to examine the stock market reaction, both to return and risk, to fraudulent financial reporting that has occurred in major corporations during the decade 1990‐1999. Finds that capital market impact is significant in dollar terms with strong negative announcement effects the day before and on the day of a news event. Concludes that auditor and regulator vigilance needs to be strongly maintained in monitoring firms’ financial reporting.

This study examines the effect that client size has on the relation between industry‐specialist auditors and fraudulent financial reporting. Most of the major accounting firms have organized their audit practices along industry lines, reflecting a belief that industry specialization leads to higher quality audits. Furthermore, regulatory bodies and extant research suggests that larger clients have greater bargaining power and are more likely to be able to convince the auditor to acquiesce to aggressive accounting. Also, it may be more difficult for an auditor to possess industry expertise for larger clients who are likely to be more complex and operate in more than one industry. Consistent with previous research, we generally find a significant negative relation between auditor industry specialization and client financial fraud. Also, as expected, the negative relation between auditor industry specialization and financial fraud is weaker for larger clients. This study provides evidence that the positive benefits of auditor industry specialization in deterring financial fraud is affected by client size.