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Predicting distress: a post Insolvency and Bankruptcy Code 2016 analysis
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Predicting distress: a post Insolvency and Bankruptcy Code 2016 analysis (2022)Predicting distress: a post Insolvency an…Corporate Financial Distress, Restructuring, and Bankruptcy (2019)Corporate Financial Distress,…Machine learning models and bankruptcy prediction (2017)Machine learning models and b…A Predictive System for Detection of Bankruptcy Using Machine Learning Techniques (2015)A Predictive System for Detec…Prediction of financial distress: An empirical study of listed Chinese companies using data mining (2014)Prediction of financial distr…Firm Bankruptcy Probability and Causes: An Integrated Study (2014)Firm Bankruptcy Probability a…Financial distress drivers in Brazilian banks: A dynamic slacks approach (2014)Financial distress drivers in…A survey of business failures with an emphasis on prediction methods and industrial applications (1996)A survey of business failures…Reasons for insolvency amongst small firms ? A review and fresh evidence (1992)Reasons for insolvency amongs…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…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…Credit Rationing in Markets with Imperfect Information (1981)Firm age dynamics and causes of corporate bankruptcy: age dependent explanations for business failure (2018)Organizational failure and decline – A bibliometric study of the scientific frontend (2018)Inventory Management and Performance of SMEs in the Manufacturing Sector of Harare (2019)Limited-dependent and qualitative variables in econometrics (1983)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)Do Managers Withhold Bad News? (2008)In Search of Distress Risk (2008)Conditional logit analysis of qualitative choice behavior (1972)The Effect of Audit Quality on Earnings Management* (1998)Measuring the efficiency of decision making units (1978)Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis (1984)Financial distress and the Malaysian dual baking system: A dynamic slacks approach (2016)A review of Dynamic Data Envelopment Analysis: state of the art and applications (2017)Dynamic prediction of financial distress using Malmquist DEA (2017)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Machine Learning in Banking Risk Management: A Literature Review (2019)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)CatBoost model and artificial intelligence techniques for corporate failure prediction (2021)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)Deep learning models for bankruptcy prediction using textual disclosures (2018)Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering (2022)Business failure prediction using rough sets (1999)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)ELECTRE: A comprehensive literature review on methodologies and applications (2015)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)A market-based framework for bankruptcy prediction (2007)Tracking down distress risk (2011)Corporate Financial Distress and Bankruptcy: A Survey (2012)
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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
  • 1966Financial Ratios As Predictors of Failure4,753 cited
  • 1984Methodological Issues Related to the Estimation of Financial Distress Prediction Models2,889 cited
  • 2017Machine learning models and bankruptcy prediction952 cited
  • 1996A survey of business failures with an emphasis on prediction methods and industrial applications591 cited
  • 2014Prediction of financial distress: An empirical study of listed Chinese companies using data mining479 cited
  • 2019Corporate Financial Distress, Restructuring, and Bankruptcy159 cited
  • 1992Reasons for insolvency amongst small firms ? A review and fresh evidence108 cited
  • 2014Financial distress drivers in Brazilian banks: A dynamic slacks approach108 cited
  • 2014Firm Bankruptcy Probability and Causes: An Integrated Study44 cited
  • 2015A Predictive System for Detection of Bankruptcy Using Machine Learning Techniques23 cited

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