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Evolutions in machine learning technology for financial distress prediction: A comprehensive review and comparative analysis
16 references·0 citing·30 second hop
Evolutions in machine learning technology for financial distress prediction: A comprehensive review and comparative analysis (2023)Evolutions in machine learning technology…Machine learning models and bankruptcy prediction (2017)Machine learning models and b…Predicting financial distress of companies: revisiting the Z-Score and ZETA® models (2013)Predicting financial distress…In Search of Distress Risk (2008)In Search of Distress RiskBankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Bankruptcy prediction in bank…Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Bankruptcy prediction using s…35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems (2005)35 years of studies on busine…Assessing the Probability of Bankruptcy (2004)Assessing the Probability of …An application of support vector machines in bankruptcy prediction model (2004)An application of support vec…Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Artificial neural networks in…Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Methodological Issues Related…Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Financial Ratios and the Prob…Co‐citation in the scientific literature: A new measure of the relationship between two documents (1973)Co‐citation in the scientific…A Discriminant Analysis of Predictors of Business Failure (1972)A Discriminant Analysis of Pr…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Financial Ratios As Predictors of Failure (1966)Financial Ratios As Predictor…Bibliographic coupling between scientific papers (1963)Bibliographic coupling betwee…Limited-dependent and qualitative variables in econometrics (1983)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)Do Managers Withhold Bad News? (2008)Conditional logit analysis of qualitative choice behavior (1972)The Effect of Audit Quality on Earnings Management* (1998)Fuzzy sets (1965)Measuring the efficiency of decision making units (1978)Fuzzy sets (1996)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)Using artificial neural network models in stock market index prediction (2011)Financial Distress Prediction in an International Context: A Review and Empirical Analysis of Altman's Z‐ Score Model (2016)The Pricing of Options and Corporate Liabilities (1973)Multi-period corporate default prediction with stochastic covariates (2006)Forecasting Default with the Merton Distance to Default Model (2008)The impact of corporate social responsibility on the cost of bank loans (2010)Editor's Choice Digesting Anomalies: An Investment ApproachAdvances in prospect theory: Cumulative representation of uncertainty (1992)Common risk factors in the returns on stocks and bonds (1993)On Persistence in Mutual Fund Performance (1997)… and the Cross-Section of Expected Returns (2015)Co‐citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately? (2010)Science mapping software tools: Review, analysis, and cooperative study among tools (2011)Visualizing Bibliometric Networks (2014)The robust beauty of improper linear models in decision making. (1979)A neural network model for bankruptcy prediction (1990)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Bibliometric Methods in Management and Organization (2014)bibliometrix : An R-tool for comprehensive science mapping analysis (2017)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)
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References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy6,005 cited
  • 1973Co‐citation in the scientific literature: A new measure of the relationship between two documents5,334 cited
  • 1966Financial Ratios As Predictors of Failure4,753 cited
  • 1984Methodological Issues Related to the Estimation of Financial Distress Prediction Models2,889 cited
  • 1963Bibliographic coupling between scientific papers2,873 cited
  • 2008In Search of Distress Risk2,232 cited
  • 2004Assessing the Probability of Bankruptcy1,357 cited
  • 1972A Discriminant Analysis of Predictors of Business Failure1,168 cited
  • 2006Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review1,068 cited
  • 2017Machine learning models and bankruptcy prediction952 cited
  • 2005Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters872 cited
  • 2004An application of support vector machines in bankruptcy prediction model809 cited
  • 2013Predicting financial distress of companies: revisiting the Z-Score and ZETA® models797 cited
  • 200535 years of studies on business failure: an overview of the classic statistical methodologies and their related problems

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795 cited
  • 1999Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis677 cited
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