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Financial Statement Fraud Detection: An Analysis of Statistical and Machine Learning Algorithms
8 references·16 citing·45 second hop
Financial Statement Fraud Detection: An Analysis of Statistical and Machine Learning Algorithms (2011)Financial Statement Fraud Detection: An A…Board Composition and Corporate Fraud (2004)Board Composition and Corpora…An application of support vector machines in bankruptcy prediction model (2004)An application of support vec…A Decision Aid for Assessing the Likelihood of Fraudulent Financial Reporting (2000)A Decision Aid for Assessing …Incentives and Penalties Related to Earnings Overstatements that Violate GAAP (1999)Incentives and Penalties Rela…Fraudulently Misstated Financial Statements and Insider Trading: An Empirical Analysis. (1998)Fraudulently Misstated Financ…Detecting GAAP violation: implications for assessing earnings management among firms with extreme financial performance (1997)Detecting GAAP violation: imp…An Empirical Analysis of the Relation between the Board of Director Composition and Financial Statement Fraud (1997)An Empirical Analysis of the …Causes and Consequences of Earnings Manipulation: An Analysis of Firms Subject to Enforcement Actions by the SEC* (1996)Causes and Consequences of Ea…Machine learning in business and finance: a literature review and research opportunities (2024)Machine learning in business …Using Machine Learning to Predict Corporate Fraud: Evidence Based on the GONE Framework (2022)Using Machine Learning to Pre…Predicting Future Earnings Changes Using Machine Learning and Detailed Financial Data (2022)Predicting Future Earnings Ch…An Analysis on Financial Statement Fraud Detection for Chinese Listed Companies Using Deep Learning (2022)An Analysis on Financial Stat…AI-enabled Enterprise Information Systems for Manufacturing (2021)AI-enabled Enterprise Informa…Using machine learning to detect misstatements (2020)Using machine learning to det…Machine Learning Improves Accounting: Discussion, Implementation and Research Opportunities (2020)Machine Learning Improves Acc…Machine learning improves accounting estimates: evidence from insurance payments (2020)Machine learning improves acc…Deep learning for detecting financial statement fraud (2020)Deep learning for detecting f…A review of money laundering literature: the state of research in key areas (2020)A review of money laundering …Detecting anomalies in financial statements using machine learning algorithm (2019)Detecting anomalies in financ…Mining corporate annual reports for intelligent detection of financial statement fraud – A comparative study of machine learning methods (2017)Mining corporate annual repor…Detecting financial restatements using data mining techniques (2017)Detecting financial restateme…Finding Needles in a Haystack: Using Data Analytics to Improve Fraud Prediction (2016)Finding Needles in a Haystack…Detecting financial misstatements with fraud intention using multi-class cost-sensitive learning (2016)Detecting financial misstatem…A taxonomy to guide research on the application of data mining to fraud detection in financial statement audits (2014)A taxonomy to guide research …Limited-dependent and qualitative variables in econometrics (1983)Earnings Management During Import Relief Investigations (1991)Detecting Earnings Management. (1995)Are Accruals during Initial Public Offerings Opportunistic? (1998)Detecting Earnings Management: A New Approach (2011)… and the Cross-Section of Expected Returns (2015)The Modern Industrial Revolution, Exit, and the Failure of Internal Control Systems (1993)Information asymmetry, corporate disclosure, and the capital markets: A review of the empirical disclosure literature (2001)Earnings Management through Real Activities Manipulation (2003)The economic implications of corporate financial reporting (2005)Agency Problems and the Theory of the Firm (1980)Separation of Ownership and Control (1983)Family Ownership, Board Independence, and R&D Investment (2009)Inside the black box: Bank credit allocation in China’s private sector (2009)The effect of board of director composition on corporate tax aggressiveness (2010)The Financial and Market Effects of the SEC's Accounting and Auditing Enforcement Releases (1991)Financial Statement Fraud: Insights from the Academic Literature (2008)Detecting Management Fraud in Public Companies (2010)Identification of fraudulent financial statements using linguistic credibility analysis (2010)Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Using neural network ensembles for bankruptcy prediction and credit scoring (2007)Consumer credit-risk models via machine-learning algorithms (2010)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)Dimensions of Organization Structure (1968)The Antecedents and Consequences of Top Management Fraud (2005)Detecting and predicting financial statement fraud: The effectiveness of the fraud triangle and SAS No. 99 (2009)Detecting Accounting Fraud in Publicly Traded U.S. Firms Using a Machine Learning Approach (2019)Theory of the firm: Managerial behavior, agency costs and ownership structure (1976)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)Who Blows the Whistle on Corporate Fraud? (2010)Predicting Material Accounting Misstatements* (2011)When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks (2011)Machine Learning for Financial Risk Management: A Survey (2020)AI integration in financial services: a systematic review of trends and regulatory challenges (2025)Bid, ask and transaction prices in a specialist market with heterogeneously informed traders (1985)The Quality of Accruals and Earnings: The Role of Accrual Estimation Errors (2002)How to Talk When a Machine Is Listening: Corporate Disclosure in the Age of AI (2023)The Quarterly Journal of Economics (2024)What insiders know about future earnings and how they use it: Evidence from insider trades (2003)Measuring Reporting Conservatism (2007)Business Strategy, Financial Reporting Irregularities, and Audit Effort (2012)
this work references cited by second hop

References

  • 1996Causes and Consequences of Earnings Manipulation: An Analysis of Firms Subject to Enforcement Actions by the SEC*4,076 cited
  • 1997An Empirical Analysis of the Relation between the Board of Director Composition and Financial Statement Fraud3,518 cited
  • 2004An application of support vector machines in bankruptcy prediction model809 cited
  • 1997Detecting GAAP violation: implications for assessing earnings management among firms with extreme financial performance701 cited
  • 1999Incentives and Penalties Related to Earnings Overstatements that Violate GAAP593 cited
  • 2004Board Composition and Corporate Fraud531 cited
  • 1998Fraudulently Misstated Financial Statements and Insider Trading: An Empirical Analysis.483 cited
  • 2000A Decision Aid for Assessing the Likelihood of Fraudulent Financial Reporting437 cited

Cited by

  • 2017Mining corporate annual reports for intelligent detection of financial statement fraud – A comparative study of machine learning methods337 cited
  • 2020Using machine learning to detect misstatements303 cited
  • 2020Deep learning for detecting financial statement fraud291 cited
  • 2016Finding Needles in a Haystack: Using Data Analytics to Improve Fraud Prediction216 cited
  • 2020Machine learning improves accounting estimates: evidence from insurance payments186 cited
  • 2022

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Predicting Future Earnings Changes Using Machine Learning and Detailed Financial Data
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  • 2016Detecting financial misstatements with fraud intention using multi-class cost-sensitive learning141 cited
  • 2014A taxonomy to guide research on the application of data mining to fraud detection in financial statement audits137 cited
  • 2017Detecting financial restatements using data mining techniques132 cited
  • 2021AI-enabled Enterprise Information Systems for Manufacturing132 cited
  • 2022An Analysis on Financial Statement Fraud Detection for Chinese Listed Companies Using Deep Learning116 cited
  • 2020A review of money laundering literature: the state of research in key areas112 cited
  • 2020Machine Learning Improves Accounting: Discussion, Implementation and Research Opportunities96 cited
  • 2024Machine learning in business and finance: a literature review and research opportunities96 cited
  • 2022Using Machine Learning to Predict Corporate Fraud: Evidence Based on the GONE Framework93 cited
  • 2019Detecting anomalies in financial statements using machine learning algorithm77 cited