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Data analytic approach for bankruptcy prediction
15 references·16 citing·33 second hop
Data analytic approach for bankruptcy prediction (2019)Data analytic approach for bankruptcy pre…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…Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)Ensemble boosted trees with s…Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Benchmarking state-of-the-art…An improved boosting based on feature selection for corporate bankruptcy prediction (2013)An improved boosting based on…An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring (2008)An experimental comparison of…Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Bankruptcy prediction in bank…Credit Risk : Pricing, Measurement, and Management (2003)Credit Risk : Pricing, Measur…Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Benchmarking state-of-the-art…Data Preprocessing and Intelligent Data Analysis (1997)Data Preprocessing and Intell…Data preprocessing and intelligent data analysis (1997)Data preprocessing and intell…Bankruptcy classification errors in the 1980s: An empirical analysis of Altman's and Ohlson's models (1996)Bankruptcy classification err…Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Financial Ratios and the Prob…ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)ZETATM analysis A new model t…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Survey, classification and critical analysis of the literature on corporate bankruptcy and financial distress prediction (2024)Survey, classification and cr…Machine learning techniques in bankruptcy prediction: A systematic literature review (2024)Machine learning techniques i…Bankruptcy prediction using machine learning and Shapley additive explanations (2023)Bankruptcy prediction using m…Systematic Review of Financial Distress Identification using Artificial Intelligence Methods (2022)Systematic Review of Financia…Review of Multi-Criteria Decision-Making Methods in Finance Using Explainable Artificial Intelligence (2022)Review of Multi-Criteria Deci…Predicting and interpreting financial distress using a weighted boosted tree-based tree (2022)Predicting and interpreting f…Impacts of crisis on SME bankruptcy prediction models’ performance (2022)Impacts of crisis on SME bank…The implication of machine learning for financial solvency prediction: an empirical analysis on public listed companies of Bangladesh (2021)The implication of machine le…Machine learning approaches for explaining determinants of the debt financing in heavy-polluting enterprises (2021)Machine learning approaches f…Financial distress prediction using a corrected feature selection measure and gradient boosted decision tree (2021)Financial distress prediction…Company bankruptcy prediction framework based on the most influential features using XGBoost and stacking ensemble learning (2021)Company bankruptcy prediction…Chinese corporate distress prediction using LASSO: The role of earnings management (2021)Chinese corporate distress pr…Big data analytics for default prediction using graph theory (2021)Big data analytics for defaul…A Machine Learning-based DSS for mid and long-term company crisis prediction (2021)A Machine Learning-based DSS …Tax Default Prediction Using Feature Transformation-Based Machine Learning (2020)Tax Default Prediction Using …Predicting Financial Distress of Slovak Enterprises: Comparison of Selected Traditional and Learning Algorithms Methods (2020)Predicting Financial Distress…Neural network credit scoring models (2000)Credit scoring with a data mining approach based on support vector machines (2006)The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Financial Ratios As Predictors of Failure (1966)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)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)Theory of the firm: Managerial behavior, agency costs and ownership structure (1976)Agency Costs of Free Cash Flow, Corporate Finance, and Takeovers (1986)Tests of the generalizability of Altman's bankruptcy prediction model (2001)The Book‐to‐Price Effect in Stock Returns: Accounting for Leverage (2007)Cash Holdings and Credit Risk (2012)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)'It's Reducing a Human Being to a Percentage' (2018)Machine Learning and Natural Language Processing in Mental Health: Systematic Review (2020)A comparative study on base classifiers in ensemble methods for credit scoring (2016)Predicting failure in the U.S. banking sector: An extreme gradient boosting approach (2018)CatBoost model and artificial intelligence techniques for corporate failure prediction (2021)How Profitable Is Capital Structure Arbitrage? (2006)Macroeconomic Dynamics and Credit Risk: A Global Perspective (2006)Safer ratios, riskier portfolios: Banks׳ response to government aid (2014)
this work references cited by second hop

References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy6,005 cited
  • 1977ZETATM analysis A new model to identify bankruptcy risk of corporations1,812 cited
  • 2015Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research1,277 cited
  • 2006Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review1,068 cited
  • 2017Machine learning models and bankruptcy prediction952 cited
  • 2003Benchmarking state-of-the-art classification algorithms for credit scoring903 cited
  • 2003Credit Risk : Pricing, Measurement, and Management587 cited
  • 2016Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction419 cited
  • 1996Bankruptcy classification errors in the 1980s: An empirical analysis of Altman's and Ohlson's models402 cited
  • 2017Systematic review of bankruptcy prediction models: Towards a framework for tool selection330 cited
  • 2008An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring290 cited
  • 1997Data Preprocessing and Intelligent Data Analysis262 cited
  • 1997Data preprocessing and intelligent data analysis243 cited

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  • 2013An improved boosting based on feature selection for corporate bankruptcy prediction188 cited
  • Cited by

    • 2021Financial distress prediction using a corrected feature selection measure and gradient boosted decision tree131 cited
    • 2020Predicting Financial Distress of Slovak Enterprises: Comparison of Selected Traditional and Learning Algorithms Methods89 cited
    • 2022Review of Multi-Criteria Decision-Making Methods in Finance Using Explainable Artificial Intelligence76 cited
    • 2021Big data analytics for default prediction using graph theory72 cited
    • 2020Tax Default Prediction Using Feature Transformation-Based Machine Learning62 cited
    • 2024Machine learning techniques in bankruptcy prediction: A systematic literature review62 cited
    • 2021A Machine Learning-based DSS for mid and long-term company crisis prediction61 cited
    • 2021Chinese corporate distress prediction using LASSO: The role of earnings management60 cited
    • 2022Systematic Review of Financial Distress Identification using Artificial Intelligence Methods59 cited
    • 2023Bankruptcy prediction using machine learning and Shapley additive explanations57 cited
    • 2022Impacts of crisis on SME bankruptcy prediction models’ performance56 cited
    • 2021The implication of machine learning for financial solvency prediction: an empirical analysis on public listed companies of Bangladesh55 cited
    • 2024Survey, classification and critical analysis of the literature on corporate bankruptcy and financial distress prediction53 cited
    • 2021Machine learning approaches for explaining determinants of the debt financing in heavy-polluting enterprises48 cited
    • 2021Company bankruptcy prediction framework based on the most influential features using XGBoost and stacking ensemble learning47 cited
    • 2022Predicting and interpreting financial distress using a weighted boosted tree-based tree46 cited