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A Survey on Machine Learning and Statistical Techniques in Bankruptcy Prediction
16 references·10 citing·34 second hop
A Survey on Machine Learning and Statistical Techniques in Bankruptcy Prediction (2018)A Survey on Machine Learning and Statisti…Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks (2014)Bankruptcy visualization and …A comparative study of classifier ensembles for bankruptcy prediction (2014)A comparative study of classi…An improved boosting based on feature selection for corporate bankruptcy prediction (2013)An improved boosting based on…A multi-industry bankruptcy prediction model using back-propagation neural network and multivariate discriminant analysis (2012)A multi-industry bankruptcy p…Machine Learning in Financial Crisis Prediction: A Survey (2011)Machine Learning in Financial…Comparative analysis of data mining methods for bankruptcy prediction (2011)Comparative analysis of data …Bankruptcy prediction in firms with statistical and intelligent techniques and a comparison of evolutionary computation approaches (2011)Bankruptcy prediction in firm…Using neural networks and data mining techniques for the financial distress prediction model (2008)Using neural networks and dat…Predicting corporate financial distress based on integration of support vector machine and logistic regression (2006)Predicting corporate financia…Predicting corporate bankruptcy: where we stand? (2006)Predicting corporate bankrupt…Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Bankruptcy prediction in bank…Hybrid genetic algorithms and support vector machines for bankruptcy prediction (2005)Hybrid genetic algorithms and…An application of support vector machines in bankruptcy prediction model (2004)An application of support vec…A genetic algorithm application in bankruptcy prediction modeling (2002)A genetic algorithm applicati…Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Corporate distress diagnosis:…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Machine learning techniques in bankruptcy prediction: A systematic literature review (2024)Machine learning techniques i…Advancing Bankruptcy Forecasting With Hybrid Machine Learning Techniques: Insights From an Unbalanced Polish Dataset (2024)Advancing Bankruptcy Forecast…Evolutions in machine learning technology for financial distress prediction: A comprehensive review and comparative analysis (2023)Evolutions in machine learnin…Eagle Strategy Arithmetic Optimisation Algorithm with Optimal Deep Convolutional Forest Based FinTech Application for Hyper-automation (2023)Eagle Strategy Arithmetic Opt…Measuring financial soundness around the world: A machine learning approach (2022)Measuring financial soundness…Predicting performance analysis of garments women working status in Bangladesh using machine learning approaches (2021)Predicting performance analys…Predicting corporate credit risk: Network contagion via trade credit (2021)Predicting corporate credit r…Comparing the Performance of Deep Learning Methods to Predict Companies’ Financial Failure (2021)Comparing the Performance of …Company bankruptcy prediction framework based on the most influential features using XGBoost and stacking ensemble learning (2021)Company bankruptcy prediction…Application of fuzzy Bayesian approach on bankruptcy causes for container liner industry (2021)Application of fuzzy Bayesian…The Pricing of Options and Corporate Liabilities (1973)Limited-dependent and qualitative variables in econometrics (1983)Systematic review of bankruptcy prediction models: Towards a framework for tool selection (2017)Modelling carbon emission intensity: Application of artificial neural network (2019)Artificial intelligence and machine learning in finance: A bibliometric review (2022)Financial Ratios As Predictors of Failure (1966)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Genetic Algorithm-Optimized Long Short-Term Memory Network for Stock Market Prediction (2018)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)Predicting corporate financial distress based on integration of decision tree classification and logistic regression (2011)A moving-average filter based hybrid ARIMA–ANN model for forecasting time series data (2014)Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition (2019)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)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Forecasting with artificial neural networks: (1998)The effect of feature selection on financial distress prediction (2014)Financial credit risk assessment: a recent review (2015)A hybrid ETS–ANN model for time series forecasting (2017)Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in Turkey (2008)Neural network credit scoring models (2000)The effects of government ownership on bank lending (2003)Corporate bankruptcy prediction: a high dimensional analysis (2017)Predicting failure in the U.S. banking sector: An extreme gradient boosting approach (2018)Utilization of artificial intelligence in the banking sector: a systematic literature review (2022)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)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)
this work references cited by second hop

References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 2006Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review1,068 cited
  • 1994Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)1,059 cited
  • 2004An application of support vector machines in bankruptcy prediction model809 cited
  • 2006Predicting corporate bankruptcy: where we stand?402 cited
  • 2002A genetic algorithm application in bankruptcy prediction modeling386 cited
  • 2005Hybrid genetic algorithms and support vector machines for bankruptcy prediction377 cited
  • 2011Machine Learning in Financial Crisis Prediction: A Survey325 cited
  • 2011Comparative analysis of data mining methods for bankruptcy prediction323 cited
  • 2008Using neural networks and data mining techniques for the financial distress prediction model283 cited
  • 2006Predicting corporate financial distress based on integration of support vector machine and logistic regression229 cited
  • 2014Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks201 cited
  • 2014A comparative study of classifier ensembles for bankruptcy prediction201 cited
  • 2013An improved boosting based on feature selection for corporate bankruptcy prediction

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188 cited
  • 2012A multi-industry bankruptcy prediction model using back-propagation neural network and multivariate discriminant analysis176 cited
  • 2011Bankruptcy prediction in firms with statistical and intelligent techniques and a comparison of evolutionary computation approaches127 cited
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    • 2021Company bankruptcy prediction framework based on the most influential features using XGBoost and stacking ensemble learning47 cited
    • 2023Eagle Strategy Arithmetic Optimisation Algorithm with Optimal Deep Convolutional Forest Based FinTech Application for Hyper-automation41 cited
    • 2022Measuring financial soundness around the world: A machine learning approach34 cited
    • 2023Evolutions in machine learning technology for financial distress prediction: A comprehensive review and comparative analysis32 cited
    • 2024Advancing Bankruptcy Forecasting With Hybrid Machine Learning Techniques: Insights From an Unbalanced Polish Dataset32 cited
    • 2021Application of fuzzy Bayesian approach on bankruptcy causes for container liner industry24 cited
    • 2021Predicting corporate credit risk: Network contagion via trade credit22 cited
    • 2021Predicting performance analysis of garments women working status in Bangladesh using machine learning approaches6 cited