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Computational Modelling for Bankruptcy Prediction: Semantic Data Analysis Integrating Graph Database and Financial Ontology
15 references·0 citing·31 second hop
Computational Modelling for Bankruptcy Prediction: Semantic Data Analysis Integrating Graph Database and Financial Ontology (2019)Computational Modelling for Bankruptcy Pr…Machine learning models and bankruptcy prediction (2017)Machine learning models and b…Learning from Uncertainty for Big Data: Future Analytical Challenges and Strategies (2016)Learning from Uncertainty for…A Predictive System for Detection of Bankruptcy Using Machine Learning Techniques (2015)A Predictive System for Detec…A multi-industry bankruptcy prediction model using back-propagation neural network and multivariate discriminant analysis (2012)A multi-industry bankruptcy p…A comparison of alternative bankruptcy prediction models (2010)A comparison of alternative b…Beyond business failure prediction (2009)Beyond business failure predi…Feature selection in bankruptcy prediction (2008)Feature selection in bankrupt…A Review of Bankruptcy Prediction Studies: 1930 to Present (2006)A Review of Bankruptcy Predic…Multicriteria decision aid in financial management (1999)Multicriteria decision aid in…Business failure prediction using rough sets (1999)Business failure prediction u…Recognizing Financial Distress Patterns Using a Neural Network Tool (1993)Recognizing Financial Distres…The Assessment of Company Solvency and Performance Using a Statistical Model (1983)The Assessment of Company Sol…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…Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Two credit scoring models based on dual strategy ensemble trees (2011)The effect of feature selection on financial distress prediction (2014)Financial credit risk assessment: a recent review (2015)Linear models in decision making. (1974)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)The Analysis and Use of Financial Ratios: A Review Article (1987)The Audit Report under Going Concern Uncertainties: An Empirical Analysis (1992)Systematic review of bankruptcy prediction models: Towards a framework for tool selection (2017)Conditional logit analysis of qualitative choice behavior (1972)The Effect of Audit Quality on Earnings Management* (1998)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)International Business Cycles and the ERM: Is There a European Business Cycle? (1997)Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks (1998)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Machine Learning in Banking Risk Management: A Literature Review (2019)CatBoost model and artificial intelligence techniques for corporate failure prediction (2021)An evaluation of Altman's Z-score using cash flow ratio to predict corporate failure amid the recent financial crisis: Evidence from the UK (2015)Remaining Financially Healthy and Competitive: The Role of Financial Predictors (2020)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)In Search of Distress Risk (2008)Going-concern prediction using hybrid random forests and rough set approach (2013)Distressed Firm and Bankruptcy Prediction in an International Context: A Review and Empirical Analysis of Altman's Z-Score Model (2014)Do Traditional Financial Distress Prediction Models Predict the Early Warning Signs of Financial Distress? (2019)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)Preference disaggregation: 20 years of MCDA experience (2001)Predicting corporate bankruptcy: where we stand? (2006)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)
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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
  • 2017Machine learning models and bankruptcy prediction952 cited
  • 1999Business failure prediction using rough sets493 cited
  • 1993Recognizing Financial Distress Patterns Using a Neural Network Tool470 cited
  • 2006A Review of Bankruptcy Prediction Studies: 1930 to Present397 cited
  • 1983The Assessment of Company Solvency and Performance Using a Statistical Model345 cited
  • 2008Feature selection in bankruptcy prediction246 cited
  • 2010A comparison of alternative bankruptcy prediction models225 cited
  • 1999Multicriteria decision aid in financial management198 cited
  • 2012A multi-industry bankruptcy prediction model using back-propagation neural network and multivariate discriminant analysis176 cited
  • 2009Beyond business failure prediction94 cited
  • 2016Learning from Uncertainty for Big Data: Future Analytical Challenges and Strategies80 cited
  • 2015A Predictive System for Detection of Bankruptcy Using Machine Learning Techniques

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