File Name: financial statement fraud motives methods cases and detection .zip
The purpose of this study was to determine whether financial stability, external pressure, personal financial need, financial targets, ineffective monitoring, and audit quality affect the financial statement fraud by collecting empirical evidence.
Accounting scandals are business scandals which arise from intentional manipulation of financial statements with the disclosure of financial misdeeds by trusted executives of corporations or governments. Such misdeeds typically involve complex methods for misusing or misdirecting funds, overstating revenues , understating expenses, overstating  the value of corporate assets, or underreporting the existence of liabilities this can be done either manually, or by the means of deep learning . It involves an employee, account, or corporation itself and is misleading to investors and shareholders. This type of " creative accounting " can amount to fraud , and investigations are typically launched by government oversight agencies, such as the Securities and Exchange Commission SEC in the United States. Employees who commit accounting fraud at the request of their employers are subject to personal criminal prosecution. Misappropriation of assets — often called defalcation or employee fraud — occurs when an employee steals a company's asset, whether those assets are of monetary or physical nature. Typically, assets stolen are cash, or cash equivalents, and company data or intellectual property.
Two cases of the fraudulent financial statements of Enron and WorldCom are analysed. PDF eBook.
The existence and persistence of financial statement fraud FSF are detrimental to the financial health of global capital markets. A number of detective and predictive methods have been used to prevent, detect, and correct FSF, but their practicability has always been a big challenge for researchers and auditors, as they do not address real-world problems. The variables used in this paper are 18 financial datasets, representing a fraud triangle. Additionally, this study examined the properties of five widely used supervised approaches, namely, multi-layer feed forward neural network MFFNN , probabilistic neural network PNN , support vector machine SVM , multinomial log-linear model MLM , and discriminant analysis DA , applied in different real-life situations. The empirical results show that MFFNN yields the best classification results in detection of fraudulent data presented in financial statement.
The research aims to analyse whether external pressure, financial stability, financial targets, ineffective monitoring, rationalization and capability effect on fraudulent financial reporting. The population this study is banking company listed on the Indonesia Sctock Exchange with a total sample of 87 banking companies in Based on the results of research using regression analysis, only external variables of incentive and financial targets have a positive effect on fraudulent financial reporting. Meanwhile, financial stability and capability have a negative impact on fraudulent financial reporting.
Occupational fraud can be broken down into three primary categories. The first and most common category is asset misappropriation. Assets that are especially vulnerable to theft and misuse include cash, receivables, inventory and equipment. Corruption may include bribery, conflicts of interest and extortion. These schemes tend to be less common in the United States, Canada and Western Europe than in other places around the globe.
Recently, fraud has been brought to the forefront with the scandals of Enron and Worldcom. A total of 43 respondents 19 auditors and 24 users were surveyed regarding their perceptions and experiences on fraud, using qualitative and quantitative approaches. Indicates that the expectation gap is wide, as auditors felt that the detection of fraud is management's responsibility, while users and management disagreed. Also finds that fraud is not a major issue in Barbados and that companies who have internal auditors, sound internal controls and effective audit committees are better equipped to deal with fraud prevention and detection. The sample size is relatively small and it is not intended nor claimed that those interviewed comprise a representative sample. This research fills a void in research in this area in a small country like Barbados. These findings have important implications for users of Barbadian accounts, especially investors, auditors and regulators.
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The project also discusses common techniques used to detect financial statement frauds. Two cases of the fraudulent financial statements of Enron and.Reply
common techniques used to detect financial statement frauds. Two cases of the fraudulent financial statements of Enron and WorldCom are analysed.Reply
Financial reporting frauds and earnings manipulation have attracted high profile attention recently. Motives, Methods, Cases and Detection Size: PDF k.Reply
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