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Detecting the probability of financial fraud due to earnings manipulation in companies listed in Athens Stock Exchange Market
15 references·1 citing·45 second hop
Detecting the probability of financial fraud due to earnings manipulation in companies listed in Athens Stock Exchange Market (2021)Detecting the probability of financial fr…Maintaining a Reputation for Consistently Beating Earnings Expectations and the Slippery Slope to Earnings Manipulation (2019)Maintaining a Reputation for …Using Beneish model to detect corporate financial statement fraud in Greece (2016)Using Beneish model to detect…Corporate Governance Consequences of Accounting Scandals: Evidence from Top Management, CFO and Auditor Turnover (2016)Corporate Governance Conseque…Real Earnings Management and Future Performance (2015)Real Earnings Management and …Financial Statement Fraud: A Case Examination Using Beneish Model and Ratio Analysis (2014)Financial Statement Fraud: A …MetaFraud: A Meta-Learning Framework for Detecting Financial Fraud1 (2012)MetaFraud: A Meta-Learning Fr…Using Financial Statement Data To Identify Factors Associated With Fraudulent Financial Reporting (2011)Using Financial Statement Dat…Predicting Material Accounting Misstatements* (2011)Predicting Material Accountin…Regulatory Sanctions and Reputational Damage in Financial Markets (2010)Regulatory Sanctions and Repu…Detecting Management Fraud in Public Companies (2010)Detecting Management Fraud in…Detecting falsified financial statements: a comparative study using multicriteria analysis and multivariate statistical techniques (2002)Detecting falsified financial…Detecting false financial statements using published data: some evidence from Greece (2002)Detecting false financial sta…The Detection of Earnings Manipulation (1999)The Detection of Earnings Man…Fraudulently Misstated Financial Statements and Insider Trading: An Empirical Analysis. 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(1997)Assessing the Risk of Managem…The application of machine learning to study fraud in the accounting literature (2024)The application of machine le…Design and natural science research on information technology (1995)Design science in information systems research (2004)Design Science in Information Systems Research1 (2004)Big data techniques in auditing research and practice: Current trends and future opportunities (2018)Applications of Artificial Intelligence in commercial banks – A research agenda for behavioral finance (2020)Using machine learning to detect misstatements (2020)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)The Financial and Market Effects of the SEC's Accounting and Auditing Enforcement Releases (1991)An Empirical Analysis of the Relation between the Board of Director Composition and Financial Statement Fraud (1997)Using neural networks and data mining techniques for the financial distress prediction model (2008)Identification of fraudulent financial statements using linguistic credibility analysis (2010)Incentives and Penalties Related to Earnings Overstatements that Violate GAAP (1999)Accounting disclosures, accounting quality and conditional and unconditional conservatism (2011)Bankruptcy prediction in firms with statistical and intelligent techniques and a comparison of evolutionary computation approaches (2011)The Transition to IFRS and the Value Relevance of Financial Statements in Greece (2011)Limited-Dependent and Qualitative Variables in Econometrics (1983)Positive Accounting Theory (1985)Earnings Management During Import Relief Investigations (1991)Analyzing the Analysts: When Do Recommendations Add Value? 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References

  • 2011Predicting Material Accounting Misstatements*1,832 cited
  • 1999The Detection of Earnings Manipulation1,299 cited
  • 1998Fraudulently Misstated Financial Statements and Insider Trading: An Empirical Analysis.483 cited
  • 2002Detecting false financial statements using published data: some evidence from Greece372 cited
  • 2010Detecting Management Fraud in Public Companies369 cited
  • 2012MetaFraud: A Meta-Learning Framework for Detecting Financial Fraud1297 cited
  • 2011Using Financial Statement Data To Identify Factors Associated With Fraudulent Financial Reporting275 cited
  • 1997Assessing the Risk of Management Fraud Through Neural Network Technology.244 cited
  • 2002Detecting falsified financial statements: a comparative study using multicriteria analysis and multivariate statistical techniques225 cited
  • 2016Corporate Governance Consequences of Accounting Scandals: Evidence from Top Management, CFO and Auditor Turnover173 cited
  • 2015Real Earnings Management and Future Performance109 cited
  • 2016Using Beneish model to detect corporate financial statement fraud in Greece103 cited
  • 2010Regulatory Sanctions and Reputational Damage in Financial Markets92 cited
  • 2019Maintaining a Reputation for Consistently Beating Earnings Expectations and the Slippery Slope to Earnings Manipulation

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84 cited
  • 2014Financial Statement Fraud: A Case Examination Using Beneish Model and Ratio Analysis79 cited
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    • 2024The application of machine learning to study fraud in the accounting literature25 cited