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Bankruptcy Prediction Using Survival Analysis Technique
11 references·1 citing·38 second hop
Bankruptcy Prediction Using Survival Analysis Technique (2020)Bankruptcy Prediction Using Survival Anal…Two-step classification method based on genetic algorithm for bankruptcy forecasting (2017)Two-step classification metho…Systematic review of bankruptcy prediction models: Towards a framework for tool selection (2017)Systematic review of bankrupt…Machine learning models and bankruptcy prediction (2017)Machine learning models and b…Financial ratios and bankruptcy predictions: An international evidence (2017)Financial ratios and bankrupt…Bankruptcy prediction using terminal failure processes (2014)Bankruptcy prediction using t…Are hazard models superior to traditional bankruptcy prediction approaches? A comprehensive test (2013)Are hazard models superior to…Predicting corporate bankruptcy: where we stand? (2006)Predicting corporate bankrupt…Multi-period corporate default prediction with stochastic covariates (2006)Multi-period corporate defaul…Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)Forecasting Bankruptcy More A…Analysis and Prediction of Insolvency in the Property-Liability Insurance Industry: A Comparison of Logit and Hazard Models (1996)Analysis and Prediction of In…An application of the cox proportional hazards model to bank failure (1986)An application of the cox pro…A comparative study of feature selection and feature extraction methods for financial distress identification (2024)A comparative study of featur…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)The Pricing of Options and Corporate Liabilities (1973)Limited-Dependent and Qualitative Variables in Econometrics (1983)Modelling carbon emission intensity: Application of artificial neural network (2019)Artificial intelligence and machine learning in finance: A bibliometric review (2022)Early warning of bank failure (1977)Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress (1985)Collateral, loan quality and bank risk (1990)The role of capital in financial institutions (1995)Are Competitive Banking Systems More Stable? (2009)Financial Ratios As Predictors of Failure (1966)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)A two-stage classification technique for bankruptcy prediction (2016)Dynamics of firm financial evolution and bankruptcy prediction (2017)Bankruptcy Prediction Using Machine Learning Techniques (2022)ON THE PRICING OF CORPORATE DEBT: THE RISK STRUCTURE OF INTEREST RATES* (1974)Distressed Firm and Bankruptcy Prediction in an International Context: A Review and Empirical Analysis of Altman's Z-Score Model (2014)Predicting Corporate Bankruptcy: An Evaluation of Alternative Statistical Frameworks (2016)The Differential Impact of Leverage on the Default Risk of Small and Large Firms (2018)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)Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review (2003)Data analytic approach for bankruptcy prediction (2019)Financial distress prediction using a corrected feature selection measure and gradient boosted decision tree (2021)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Modeling Term Structures of Defaultable Bonds (1999)In Search of Distress Risk (2008)Frailty Correlated Default (2009)Should I Stay or Should I Go? The Impact of Natural Disasters and Regulation on U.S. Property Insurers’ Supply Decisions (2012)The evolution of insurer portfolio investment strategies for long-term investing (2016)Predicting corporate bankruptcy: What matters? (2019)Determinants of corporate default risk in China: The role of financial constraints (2020)No more black boxes! Explaining the predictions of a machine learning XGBoost classifier algorithm in business failure (2022)Forecasting Default with the Merton Distance to Default Model (2008)Credit Spreads and Business Cycle Fluctuations (2012)Hazardous Times for Monetary Policy: What Do Twenty-Three Million Bank Loans Say About the Effects of Monetary Policy on Credit Risk-Taking? (2014)
this work references cited by second hop

References

  • 2001Forecasting Bankruptcy More Accurately: A Simple Hazard Model2,655 cited
  • 2006Multi-period corporate default prediction with stochastic covariates973 cited
  • 2017Machine learning models and bankruptcy prediction952 cited
  • 1986An application of the cox proportional hazards model to bank failure559 cited
  • 2006Predicting corporate bankruptcy: where we stand?402 cited
  • 2017Systematic review of bankruptcy prediction models: Towards a framework for tool selection330 cited
  • 2013Are hazard models superior to traditional bankruptcy prediction approaches? A comprehensive test199 cited
  • 2014Bankruptcy prediction using terminal failure processes152 cited
  • 2017Financial ratios and bankruptcy predictions: An international evidence137 cited
  • 1996Analysis and Prediction of Insolvency in the Property-Liability Insurance Industry: A Comparison of Logit and Hazard Models131 cited
  • 2017Two-step classification method based on genetic algorithm for bankruptcy forecasting95 cited

Cited by

  • 2024A comparative study of feature selection and feature extraction methods for financial distress identification11 cited

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