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Application of Beneish M-Score Models and Data Mining to Detect Financial Fraud
5 references·16 citing·41 second hop
Application of Beneish M-Score Models and Data Mining to Detect Financial Fraud (2015)Application of Beneish M-Score Models and…Using Financial Statement Data To Identify Factors Associated With Fraudulent Financial Reporting (2011)Using Financial Statement Dat…Can financial ratios detect fraudulent financial reporting? (2004)Can financial ratios detect f…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…An Empirical Analysis of the Relation between the Board of Director Composition and Financial Statement Fraud (1997)An Empirical Analysis of the …Predicting financial distress in TSX-listed firms using machine learning algorithms (2024)Predicting financial distress…Impact of earnings management on working capital management efficiency (2023)Impact of earnings management…The use of Beneish M-scores to reveal creative accounting: evidence from Slovakia (2022)The use of Beneish M-scores t…Novel Key Indicators Selection Method of Financial Fraud Prediction Model Based on Machine Learning Hybrid Mode (2022)Novel Key Indicators Selectio…Scoring the financial distress and the financial statement fraud of Garuda Indonesia with «DDCC» as the financial solutions (2021)Scoring the financial distres…Influence of earnings management on forecasting corporate failure (2021)Influence of earnings managem…Corporate governance and fraudulent financial reporting (2021)Corporate governance and frau…Annual report readability and accounting irregularities: evidence from public listed companies in Indonesia (2021)Annual report readability and…A Statistical Model of Fraud Risk in Financial Statements. Case for Romania Companies (2021)A Statistical Model of Fraud …Using the Beneish M-score model: Evidence from non-financial companies listed on the Warsaw Stock Exchange (2020)Using the Beneish M-score mod…The Influence of Corporate Governance on the Mitigation of Fraudulent Financial Reporting (2020)The Influence of Corporate Go…An Analysis of Financial Statement Manipulation among Listed Manufacturing and Trading Firms in Ghana (2020)An Analysis of Financial Stat…Manajemen Laba: Ukuran Perusahaan, Kepemilikan Manajerial dan Kompensasi Bonus (2019)Manajemen Laba: Ukuran Perusa…EFEKTIVITAS MODEL BENEISH M-SCORE DAN MODEL F-SCORE DALAM MENDETEKSI KECURANGAN LAPORAN KEUANGAN (2019)EFEKTIVITAS MODEL BENEISH M-S…DETECTION MODELS FOR UNINTENTIONAL FINANCIAL RESTATEMENTS (2019)DETECTION MODELS FOR UNINTENT…A cross-country study on manipulations in financial statements of listed companies (2017)A cross-country study on mani…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)Using neural networks and data mining techniques for the financial distress prediction model (2008)Identification of fraudulent financial statements using linguistic credibility analysis (2010)MetaFraud: A Meta-Learning Framework for Detecting Financial Fraud1 (2012)Corporate financial distress : a complete guide to predicting, avoiding, and dealing with bankruptcy (1983)Detecting and Predicting Financial Statement Fraud: The Effectiveness of the Fraud Triangle and SAS No. 99 (2008)Fraud Risk Factor Of The Fraud Triangle Assessing The Likelihood Of Fraudulent Financial Reporting (2011)Finding Needles in a Haystack: Using Data Analytics to Improve Fraud Prediction (2016)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? (2004)The Press as a Watchdog for Accounting Fraud (2006)Corporate Governance and Firm Value: The Impact of the 2002 Governance Rules (2007)Theory of the firm: Managerial behavior, agency costs and ownership structure (1976)Separation of Ownership and Control (1983)The Modern Industrial Revolution, Exit, and the Failure of Internal Control Systems (1993)Financial accounting information and corporate governance (2001)Audit committee, board of director characteristics, and earnings management (2002)Understanding earnings quality: A review of the proxies, their determinants and their consequences (2010)Pengaruh Faktor Good Corporate Governance, Free Cash Flow, dan Leverage Terhadap Manajemen Laba (2013)Analisis Laporan Keuangan: Pendekatan Rasio Keuangan (2015)Earnings management and annual report readability (2016)Pengaruh Ukuran Perusahaan, Leverage dan Profitabilitas terhadap Manajemen Laba dengan Kompensasi Bonus sebagai Variabel Moderating (2022)Auditor size and audit quality (1981)Elucidating corporate governance’s impact and role in countering fraud (2022)Detecting Earnings Management. (1995)Performance matched discretionary accrual measures (2005)Earnings manipulation behavior in the banking industry of Bangladesh: the strategical implication of Beneish M-score model (2022)The application of machine learning to study fraud in the accounting literature (2024)Identifying failing companies: a re-evaluation of the logit, probit and DA approaches (1999)Predicting Material Accounting Misstatements* (2011)Determinan Fraudulent Financial Statement Melalui Perspektif Fraud Hexagon Theory Pada Perusahaan Pertambangan (2021)Do family ownership and supervisory board characteristics influence audit report lag? A view from a two-tier board context (2024)A Survey of Corporate Governance (1997)The Role of Boards of Directors in Corporate Governance: A Conceptual Framework and Survey (2010)Overconfidence and Early‐Life Experiences: The Effect of Managerial Traits on Corporate Financial Policies (2011)Board structure and the likelihood of financial statement fraud. Does audit fee matter? Evidence from manufacturing firms in the East Africa community (2023)Detecting falsified financial statements: a comparative study using multicriteria analysis and multivariate statistical techniques (2002)Predicting corporate financial distress based on integration of decision tree classification and logistic regression (2011)
this work references cited by second hop

References

  • 1997An Empirical Analysis of the Relation between the Board of Director Composition and Financial Statement Fraud3,518 cited
  • 1999The Detection of Earnings Manipulation1,299 cited
  • 2002Detecting false financial statements using published data: some evidence from Greece372 cited
  • 2011Using Financial Statement Data To Identify Factors Associated With Fraudulent Financial Reporting275 cited
  • 2004Can financial ratios detect fraudulent financial reporting?230 cited

Cited by

  • 2019Manajemen Laba: Ukuran Perusahaan, Kepemilikan Manajerial dan Kompensasi Bonus85 cited
  • 2020The Influence of Corporate Governance on the Mitigation of Fraudulent Financial Reporting54 cited
  • 2020Using the Beneish M-score model: Evidence from non-financial companies listed on the Warsaw Stock Exchange50 cited
  • 2021Corporate governance and fraudulent financial reporting49 cited
  • 2021Scoring the financial distress and the financial statement fraud of Garuda Indonesia with «DDCC» as the financial solutions46 cited
  • 2023Impact of earnings management on working capital management efficiency39 cited
  • 2019EFEKTIVITAS MODEL BENEISH M-SCORE DAN MODEL F-SCORE DALAM MENDETEKSI KECURANGAN LAPORAN KEUANGAN38 cited
  • 2021Influence of earnings management on forecasting corporate failure33 cited
  • 2017

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A cross-country study on manipulations in financial statements of listed companies
32 cited
  • 2024Predicting financial distress in TSX-listed firms using machine learning algorithms30 cited
  • 2019DETECTION MODELS FOR UNINTENTIONAL FINANCIAL RESTATEMENTS26 cited
  • 2021Annual report readability and accounting irregularities: evidence from public listed companies in Indonesia25 cited
  • 2022The use of Beneish M-scores to reveal creative accounting: evidence from Slovakia25 cited
  • 2020An Analysis of Financial Statement Manipulation among Listed Manufacturing and Trading Firms in Ghana23 cited
  • 2021A Statistical Model of Fraud Risk in Financial Statements. Case for Romania Companies21 cited
  • 2022Novel Key Indicators Selection Method of Financial Fraud Prediction Model Based on Machine Learning Hybrid Mode20 cited